├── .gitignore ├── LICENSE ├── README.md ├── checkpoints ├── discriminator_final.pth ├── generator_final.pth └── generator_pretrain.pth ├── models.py ├── output ├── high_res_fake │ ├── 0.png │ ├── 1.png │ ├── 10.png │ ├── 100.png │ ├── 101.png │ ├── 102.png │ ├── 103.png │ ├── 104.png │ ├── 105.png │ ├── 106.png │ ├── 107.png │ ├── 108.png │ ├── 109.png │ ├── 11.png │ ├── 110.png │ ├── 111.png │ ├── 112.png │ ├── 113.png │ ├── 114.png │ ├── 115.png │ ├── 116.png │ ├── 117.png │ ├── 118.png │ ├── 119.png │ ├── 12.png │ ├── 120.png │ ├── 121.png │ ├── 122.png │ ├── 123.png │ ├── 124.png │ ├── 125.png │ ├── 126.png │ ├── 127.png │ ├── 13.png │ ├── 14.png │ ├── 15.png │ ├── 16.png │ ├── 17.png │ ├── 18.png │ ├── 19.png │ ├── 2.png │ ├── 20.png │ ├── 21.png │ ├── 22.png │ ├── 23.png │ ├── 24.png │ ├── 25.png │ ├── 26.png │ ├── 27.png │ ├── 28.png │ ├── 29.png │ ├── 3.png │ ├── 30.png │ ├── 31.png │ ├── 32.png │ ├── 33.png │ ├── 34.png │ ├── 35.png │ ├── 36.png │ ├── 37.png │ ├── 38.png │ ├── 39.png │ ├── 4.png │ ├── 40.png │ ├── 41.png │ ├── 42.png │ ├── 43.png │ ├── 44.png │ ├── 45.png │ ├── 46.png │ ├── 47.png │ ├── 48.png │ ├── 49.png │ ├── 5.png │ ├── 50.png │ ├── 51.png │ ├── 52.png │ ├── 53.png │ ├── 54.png │ ├── 55.png │ ├── 56.png │ ├── 57.png │ ├── 58.png │ ├── 59.png │ ├── 6.png │ ├── 60.png │ ├── 61.png │ ├── 62.png │ ├── 63.png │ ├── 64.png │ ├── 65.png │ ├── 66.png │ ├── 67.png │ ├── 68.png │ ├── 69.png │ ├── 7.png │ ├── 70.png │ ├── 71.png │ ├── 72.png │ ├── 73.png │ ├── 74.png │ ├── 75.png │ ├── 76.png │ ├── 77.png │ ├── 78.png │ ├── 79.png │ ├── 8.png │ ├── 80.png │ ├── 81.png │ ├── 82.png │ ├── 83.png │ ├── 84.png │ ├── 85.png │ ├── 86.png │ ├── 87.png │ ├── 88.png │ ├── 89.png │ ├── 9.png │ ├── 90.png │ ├── 91.png │ ├── 92.png │ ├── 93.png │ ├── 94.png │ ├── 95.png │ ├── 96.png │ ├── 97.png │ ├── 98.png │ └── 99.png ├── high_res_real │ ├── 0.png │ ├── 1.png │ ├── 10.png │ ├── 100.png │ ├── 101.png │ ├── 102.png │ ├── 103.png │ ├── 104.png │ ├── 105.png │ ├── 106.png │ ├── 107.png │ ├── 108.png │ ├── 109.png │ ├── 11.png │ ├── 110.png │ ├── 111.png │ ├── 112.png │ ├── 113.png │ ├── 114.png │ ├── 115.png │ ├── 116.png │ ├── 117.png │ ├── 118.png │ ├── 119.png │ ├── 12.png │ ├── 120.png │ ├── 121.png │ ├── 122.png │ ├── 123.png │ ├── 124.png │ ├── 125.png │ ├── 126.png │ ├── 127.png │ ├── 13.png │ ├── 14.png │ ├── 15.png │ ├── 16.png │ ├── 17.png │ ├── 18.png │ ├── 19.png │ ├── 2.png │ ├── 20.png │ ├── 21.png │ ├── 22.png │ ├── 23.png │ ├── 24.png │ ├── 25.png │ ├── 26.png │ ├── 27.png │ ├── 28.png │ ├── 29.png │ ├── 3.png │ ├── 30.png │ ├── 31.png │ ├── 32.png │ ├── 33.png │ ├── 34.png │ ├── 35.png │ ├── 36.png │ ├── 37.png │ ├── 38.png │ ├── 39.png │ ├── 4.png │ ├── 40.png │ ├── 41.png │ ├── 42.png │ ├── 43.png │ ├── 44.png │ ├── 45.png │ ├── 46.png │ ├── 47.png │ ├── 48.png │ ├── 49.png │ ├── 5.png │ ├── 50.png │ ├── 51.png │ ├── 52.png │ ├── 53.png │ ├── 54.png │ ├── 55.png │ ├── 56.png │ ├── 57.png │ ├── 58.png │ ├── 59.png │ ├── 6.png │ ├── 60.png │ ├── 61.png │ ├── 62.png │ ├── 63.png │ ├── 64.png │ ├── 65.png │ ├── 66.png │ ├── 67.png │ ├── 68.png │ ├── 69.png │ ├── 7.png │ ├── 70.png │ ├── 71.png │ ├── 72.png │ ├── 73.png │ ├── 74.png │ ├── 75.png │ ├── 76.png │ ├── 77.png │ ├── 78.png │ ├── 79.png │ ├── 8.png │ ├── 80.png │ ├── 81.png │ ├── 82.png │ ├── 83.png │ ├── 84.png │ ├── 85.png │ ├── 86.png │ ├── 87.png │ ├── 88.png │ ├── 89.png │ ├── 9.png │ ├── 90.png │ ├── 91.png │ ├── 92.png │ ├── 93.png │ ├── 94.png │ ├── 95.png │ ├── 96.png │ ├── 97.png │ ├── 98.png │ └── 99.png ├── low_res │ ├── 0.png │ ├── 1.png │ ├── 10.png │ ├── 100.png │ ├── 101.png │ ├── 102.png │ ├── 103.png │ ├── 104.png │ ├── 105.png │ ├── 106.png │ ├── 107.png │ ├── 108.png │ ├── 109.png │ ├── 11.png │ ├── 110.png │ ├── 111.png │ ├── 112.png │ ├── 113.png │ ├── 114.png │ ├── 115.png │ ├── 116.png │ ├── 117.png │ ├── 118.png │ ├── 119.png │ ├── 12.png │ ├── 120.png │ ├── 121.png │ ├── 122.png │ ├── 123.png │ ├── 124.png │ ├── 125.png │ ├── 126.png │ ├── 127.png │ ├── 13.png │ ├── 14.png │ ├── 15.png │ ├── 16.png │ ├── 17.png │ ├── 18.png │ ├── 19.png │ ├── 2.png │ ├── 20.png │ ├── 21.png │ ├── 22.png │ ├── 23.png │ ├── 24.png │ ├── 25.png │ ├── 26.png │ ├── 27.png │ ├── 28.png │ ├── 29.png │ ├── 3.png │ ├── 30.png │ ├── 31.png │ ├── 32.png │ ├── 33.png │ ├── 34.png │ ├── 35.png │ ├── 36.png │ ├── 37.png │ ├── 38.png │ ├── 39.png │ ├── 4.png │ ├── 40.png │ ├── 41.png │ ├── 42.png │ ├── 43.png │ ├── 44.png │ ├── 45.png │ ├── 46.png │ ├── 47.png │ ├── 48.png │ ├── 49.png │ ├── 5.png │ ├── 50.png │ ├── 51.png │ ├── 52.png │ ├── 53.png │ ├── 54.png │ ├── 55.png │ ├── 56.png │ ├── 57.png │ ├── 58.png │ ├── 59.png │ ├── 6.png │ ├── 60.png │ ├── 61.png │ ├── 62.png │ ├── 63.png │ ├── 64.png │ ├── 65.png │ ├── 66.png │ ├── 67.png │ ├── 68.png │ ├── 69.png │ ├── 7.png │ ├── 70.png │ ├── 71.png │ ├── 72.png │ ├── 73.png │ ├── 74.png │ ├── 75.png │ ├── 76.png │ ├── 77.png │ ├── 78.png │ ├── 79.png │ ├── 8.png │ ├── 80.png │ ├── 81.png │ ├── 82.png │ ├── 83.png │ ├── 84.png │ ├── 85.png │ ├── 86.png │ ├── 87.png │ ├── 88.png │ ├── 89.png │ ├── 9.png │ ├── 90.png │ ├── 91.png │ ├── 92.png │ ├── 93.png │ ├── 94.png │ ├── 95.png │ ├── 96.png │ ├── 97.png │ ├── 98.png │ └── 99.png └── training_results.png ├── test ├── train └── utils.py /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | env/ 12 | build/ 13 | develop-eggs/ 14 | dist/ 15 | downloads/ 16 | eggs/ 17 | .eggs/ 18 | lib/ 19 | lib64/ 20 | parts/ 21 | sdist/ 22 | var/ 23 | wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | 28 | # PyInstaller 29 | # Usually these files are written by a python script from a template 30 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 31 | *.manifest 32 | *.spec 33 | 34 | # Installer logs 35 | pip-log.txt 36 | pip-delete-this-directory.txt 37 | 38 | # Unit test / coverage reports 39 | htmlcov/ 40 | .tox/ 41 | .coverage 42 | .coverage.* 43 | .cache 44 | nosetests.xml 45 | coverage.xml 46 | *.cover 47 | .hypothesis/ 48 | 49 | # Translations 50 | *.mo 51 | *.pot 52 | 53 | # Django stuff: 54 | *.log 55 | local_settings.py 56 | 57 | # Flask stuff: 58 | instance/ 59 | .webassets-cache 60 | 61 | # Scrapy stuff: 62 | .scrapy 63 | 64 | # Sphinx documentation 65 | docs/_build/ 66 | 67 | # PyBuilder 68 | target/ 69 | 70 | # Jupyter Notebook 71 | .ipynb_checkpoints 72 | 73 | # pyenv 74 | .python-version 75 | 76 | # celery beat schedule file 77 | celerybeat-schedule 78 | 79 | # SageMath parsed files 80 | *.sage.py 81 | 82 | # dotenv 83 | .env 84 | 85 | # virtualenv 86 | .venv 87 | venv/ 88 | ENV/ 89 | 90 | # Spyder project settings 91 | .spyderproject 92 | .spyproject 93 | 94 | # Rope project settings 95 | .ropeproject 96 | 97 | # mkdocs documentation 98 | /site 99 | 100 | # mypy 101 | .mypy_cache/ 102 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. By contrast, 15 | the GNU General Public License is intended to guarantee your freedom to 16 | share and change all versions of a program--to make sure it remains free 17 | software for all its users. We, the Free Software Foundation, use the 18 | GNU General Public License for most of our software; it applies also to 19 | any other work released this way by its authors. You can apply it to 20 | your programs, too. 21 | 22 | When we speak of free software, we are referring to freedom, not 23 | price. Our General Public Licenses are designed to make sure that you 24 | have the freedom to distribute copies of free software (and charge for 25 | them if you wish), that you receive source code or can get it if you 26 | want it, that you can change the software or use pieces of it in new 27 | free programs, and that you know you can do these things. 28 | 29 | To protect your rights, we need to prevent others from denying you 30 | these rights or asking you to surrender the rights. Therefore, you have 31 | certain responsibilities if you distribute copies of the software, or if 32 | you modify it: responsibilities to respect the freedom of others. 33 | 34 | For example, if you distribute copies of such a program, whether 35 | gratis or for a fee, you must pass on to the recipients the same 36 | freedoms that you received. You must make sure that they, too, receive 37 | or can get the source code. And you must show them these terms so they 38 | know their rights. 39 | 40 | Developers that use the GNU GPL protect your rights with two steps: 41 | (1) assert copyright on the software, and (2) offer you this License 42 | giving you legal permission to copy, distribute and/or modify it. 43 | 44 | For the developers' and authors' protection, the GPL clearly explains 45 | that there is no warranty for this free software. For both users' and 46 | authors' sake, the GPL requires that modified versions be marked as 47 | changed, so that their problems will not be attributed erroneously to 48 | authors of previous versions. 49 | 50 | Some devices are designed to deny users access to install or run 51 | modified versions of the software inside them, although the manufacturer 52 | can do so. This is fundamentally incompatible with the aim of 53 | protecting users' freedom to change the software. The systematic 54 | pattern of such abuse occurs in the area of products for individuals to 55 | use, which is precisely where it is most unacceptable. Therefore, we 56 | have designed this version of the GPL to prohibit the practice for those 57 | products. If such problems arise substantially in other domains, we 58 | stand ready to extend this provision to those domains in future versions 59 | of the GPL, as needed to protect the freedom of users. 60 | 61 | Finally, every program is threatened constantly by software patents. 62 | States should not allow patents to restrict development and use of 63 | software on general-purpose computers, but in those that do, we wish to 64 | avoid the special danger that patents applied to a free program could 65 | make it effectively proprietary. To prevent this, the GPL assures that 66 | patents cannot be used to render the program non-free. 67 | 68 | The precise terms and conditions for copying, distribution and 69 | modification follow. 70 | 71 | TERMS AND CONDITIONS 72 | 73 | 0. Definitions. 74 | 75 | "This License" refers to version 3 of the GNU General Public License. 76 | 77 | "Copyright" also means copyright-like laws that apply to other kinds of 78 | works, such as semiconductor masks. 79 | 80 | "The Program" refers to any copyrightable work licensed under this 81 | License. Each licensee is addressed as "you". "Licensees" and 82 | "recipients" may be individuals or organizations. 83 | 84 | To "modify" a work means to copy from or adapt all or part of the work 85 | in a fashion requiring copyright permission, other than the making of an 86 | exact copy. The resulting work is called a "modified version" of the 87 | earlier work or a work "based on" the earlier work. 88 | 89 | A "covered work" means either the unmodified Program or a work based 90 | on the Program. 91 | 92 | To "propagate" a work means to do anything with it that, without 93 | permission, would make you directly or secondarily liable for 94 | infringement under applicable copyright law, except executing it on a 95 | computer or modifying a private copy. Propagation includes copying, 96 | distribution (with or without modification), making available to the 97 | public, and in some countries other activities as well. 98 | 99 | To "convey" a work means any kind of propagation that enables other 100 | parties to make or receive copies. Mere interaction with a user through 101 | a computer network, with no transfer of a copy, is not conveying. 102 | 103 | An interactive user interface displays "Appropriate Legal Notices" 104 | to the extent that it includes a convenient and prominently visible 105 | feature that (1) displays an appropriate copyright notice, and (2) 106 | tells the user that there is no warranty for the work (except to the 107 | extent that warranties are provided), that licensees may convey the 108 | work under this License, and how to view a copy of this License. If 109 | the interface presents a list of user commands or options, such as a 110 | menu, a prominent item in the list meets this criterion. 111 | 112 | 1. Source Code. 113 | 114 | The "source code" for a work means the preferred form of the work 115 | for making modifications to it. "Object code" means any non-source 116 | form of a work. 117 | 118 | A "Standard Interface" means an interface that either is an official 119 | standard defined by a recognized standards body, or, in the case of 120 | interfaces specified for a particular programming language, one that 121 | is widely used among developers working in that language. 122 | 123 | The "System Libraries" of an executable work include anything, other 124 | than the work as a whole, that (a) is included in the normal form of 125 | packaging a Major Component, but which is not part of that Major 126 | Component, and (b) serves only to enable use of the work with that 127 | Major Component, or to implement a Standard Interface for which an 128 | implementation is available to the public in source code form. A 129 | "Major Component", in this context, means a major essential component 130 | (kernel, window system, and so on) of the specific operating system 131 | (if any) on which the executable work runs, or a compiler used to 132 | produce the work, or an object code interpreter used to run it. 133 | 134 | The "Corresponding Source" for a work in object code form means all 135 | the source code needed to generate, install, and (for an executable 136 | work) run the object code and to modify the work, including scripts to 137 | control those activities. However, it does not include the work's 138 | System Libraries, or general-purpose tools or generally available free 139 | programs which are used unmodified in performing those activities but 140 | which are not part of the work. For example, Corresponding Source 141 | includes interface definition files associated with source files for 142 | the work, and the source code for shared libraries and dynamically 143 | linked subprograms that the work is specifically designed to require, 144 | such as by intimate data communication or control flow between those 145 | subprograms and other parts of the work. 146 | 147 | The Corresponding Source need not include anything that users 148 | can regenerate automatically from other parts of the Corresponding 149 | Source. 150 | 151 | The Corresponding Source for a work in source code form is that 152 | same work. 153 | 154 | 2. Basic Permissions. 155 | 156 | All rights granted under this License are granted for the term of 157 | copyright on the Program, and are irrevocable provided the stated 158 | conditions are met. This License explicitly affirms your unlimited 159 | permission to run the unmodified Program. The output from running a 160 | covered work is covered by this License only if the output, given its 161 | content, constitutes a covered work. This License acknowledges your 162 | rights of fair use or other equivalent, as provided by copyright law. 163 | 164 | You may make, run and propagate covered works that you do not 165 | convey, without conditions so long as your license otherwise remains 166 | in force. You may convey covered works to others for the sole purpose 167 | of having them make modifications exclusively for you, or provide you 168 | with facilities for running those works, provided that you comply with 169 | the terms of this License in conveying all material for which you do 170 | not control copyright. Those thus making or running the covered works 171 | for you must do so exclusively on your behalf, under your direction 172 | and control, on terms that prohibit them from making any copies of 173 | your copyrighted material outside their relationship with you. 174 | 175 | Conveying under any other circumstances is permitted solely under 176 | the conditions stated below. Sublicensing is not allowed; section 10 177 | makes it unnecessary. 178 | 179 | 3. Protecting Users' Legal Rights From Anti-Circumvention Law. 180 | 181 | No covered work shall be deemed part of an effective technological 182 | measure under any applicable law fulfilling obligations under article 183 | 11 of the WIPO copyright treaty adopted on 20 December 1996, or 184 | similar laws prohibiting or restricting circumvention of such 185 | measures. 186 | 187 | When you convey a covered work, you waive any legal power to forbid 188 | circumvention of technological measures to the extent such circumvention 189 | is effected by exercising rights under this License with respect to 190 | the covered work, and you disclaim any intention to limit operation or 191 | modification of the work as a means of enforcing, against the work's 192 | users, your or third parties' legal rights to forbid circumvention of 193 | technological measures. 194 | 195 | 4. Conveying Verbatim Copies. 196 | 197 | You may convey verbatim copies of the Program's source code as you 198 | receive it, in any medium, provided that you conspicuously and 199 | appropriately publish on each copy an appropriate copyright notice; 200 | keep intact all notices stating that this License and any 201 | non-permissive terms added in accord with section 7 apply to the code; 202 | keep intact all notices of the absence of any warranty; and give all 203 | recipients a copy of this License along with the Program. 204 | 205 | You may charge any price or no price for each copy that you convey, 206 | and you may offer support or warranty protection for a fee. 207 | 208 | 5. Conveying Modified Source Versions. 209 | 210 | You may convey a work based on the Program, or the modifications to 211 | produce it from the Program, in the form of source code under the 212 | terms of section 4, provided that you also meet all of these conditions: 213 | 214 | a) The work must carry prominent notices stating that you modified 215 | it, and giving a relevant date. 216 | 217 | b) The work must carry prominent notices stating that it is 218 | released under this License and any conditions added under section 219 | 7. This requirement modifies the requirement in section 4 to 220 | "keep intact all notices". 221 | 222 | c) You must license the entire work, as a whole, under this 223 | License to anyone who comes into possession of a copy. This 224 | License will therefore apply, along with any applicable section 7 225 | additional terms, to the whole of the work, and all its parts, 226 | regardless of how they are packaged. This License gives no 227 | permission to license the work in any other way, but it does not 228 | invalidate such permission if you have separately received it. 229 | 230 | d) If the work has interactive user interfaces, each must display 231 | Appropriate Legal Notices; however, if the Program has interactive 232 | interfaces that do not display Appropriate Legal Notices, your 233 | work need not make them do so. 234 | 235 | A compilation of a covered work with other separate and independent 236 | works, which are not by their nature extensions of the covered work, 237 | and which are not combined with it such as to form a larger program, 238 | in or on a volume of a storage or distribution medium, is called an 239 | "aggregate" if the compilation and its resulting copyright are not 240 | used to limit the access or legal rights of the compilation's users 241 | beyond what the individual works permit. Inclusion of a covered work 242 | in an aggregate does not cause this License to apply to the other 243 | parts of the aggregate. 244 | 245 | 6. Conveying Non-Source Forms. 246 | 247 | You may convey a covered work in object code form under the terms 248 | of sections 4 and 5, provided that you also convey the 249 | machine-readable Corresponding Source under the terms of this License, 250 | in one of these ways: 251 | 252 | a) Convey the object code in, or embodied in, a physical product 253 | (including a physical distribution medium), accompanied by the 254 | Corresponding Source fixed on a durable physical medium 255 | customarily used for software interchange. 256 | 257 | b) Convey the object code in, or embodied in, a physical product 258 | (including a physical distribution medium), accompanied by a 259 | written offer, valid for at least three years and valid for as 260 | long as you offer spare parts or customer support for that product 261 | model, to give anyone who possesses the object code either (1) a 262 | copy of the Corresponding Source for all the software in the 263 | product that is covered by this License, on a durable physical 264 | medium customarily used for software interchange, for a price no 265 | more than your reasonable cost of physically performing this 266 | conveying of source, or (2) access to copy the 267 | Corresponding Source from a network server at no charge. 268 | 269 | c) Convey individual copies of the object code with a copy of the 270 | written offer to provide the Corresponding Source. This 271 | alternative is allowed only occasionally and noncommercially, and 272 | only if you received the object code with such an offer, in accord 273 | with subsection 6b. 274 | 275 | d) Convey the object code by offering access from a designated 276 | place (gratis or for a charge), and offer equivalent access to the 277 | Corresponding Source in the same way through the same place at no 278 | further charge. You need not require recipients to copy the 279 | Corresponding Source along with the object code. If the place to 280 | copy the object code is a network server, the Corresponding Source 281 | may be on a different server (operated by you or a third party) 282 | that supports equivalent copying facilities, provided you maintain 283 | clear directions next to the object code saying where to find the 284 | Corresponding Source. Regardless of what server hosts the 285 | Corresponding Source, you remain obligated to ensure that it is 286 | available for as long as needed to satisfy these requirements. 287 | 288 | e) Convey the object code using peer-to-peer transmission, provided 289 | you inform other peers where the object code and Corresponding 290 | Source of the work are being offered to the general public at no 291 | charge under subsection 6d. 292 | 293 | A separable portion of the object code, whose source code is excluded 294 | from the Corresponding Source as a System Library, need not be 295 | included in conveying the object code work. 296 | 297 | A "User Product" is either (1) a "consumer product", which means any 298 | tangible personal property which is normally used for personal, family, 299 | or household purposes, or (2) anything designed or sold for incorporation 300 | into a dwelling. In determining whether a product is a consumer product, 301 | doubtful cases shall be resolved in favor of coverage. For a particular 302 | product received by a particular user, "normally used" refers to a 303 | typical or common use of that class of product, regardless of the status 304 | of the particular user or of the way in which the particular user 305 | actually uses, or expects or is expected to use, the product. A product 306 | is a consumer product regardless of whether the product has substantial 307 | commercial, industrial or non-consumer uses, unless such uses represent 308 | the only significant mode of use of the product. 309 | 310 | "Installation Information" for a User Product means any methods, 311 | procedures, authorization keys, or other information required to install 312 | and execute modified versions of a covered work in that User Product from 313 | a modified version of its Corresponding Source. The information must 314 | suffice to ensure that the continued functioning of the modified object 315 | code is in no case prevented or interfered with solely because 316 | modification has been made. 317 | 318 | If you convey an object code work under this section in, or with, or 319 | specifically for use in, a User Product, and the conveying occurs as 320 | part of a transaction in which the right of possession and use of the 321 | User Product is transferred to the recipient in perpetuity or for a 322 | fixed term (regardless of how the transaction is characterized), the 323 | Corresponding Source conveyed under this section must be accompanied 324 | by the Installation Information. But this requirement does not apply 325 | if neither you nor any third party retains the ability to install 326 | modified object code on the User Product (for example, the work has 327 | been installed in ROM). 328 | 329 | The requirement to provide Installation Information does not include a 330 | requirement to continue to provide support service, warranty, or updates 331 | for a work that has been modified or installed by the recipient, or for 332 | the User Product in which it has been modified or installed. Access to a 333 | network may be denied when the modification itself materially and 334 | adversely affects the operation of the network or violates the rules and 335 | protocols for communication across the network. 336 | 337 | Corresponding Source conveyed, and Installation Information provided, 338 | in accord with this section must be in a format that is publicly 339 | documented (and with an implementation available to the public in 340 | source code form), and must require no special password or key for 341 | unpacking, reading or copying. 342 | 343 | 7. Additional Terms. 344 | 345 | "Additional permissions" are terms that supplement the terms of this 346 | License by making exceptions from one or more of its conditions. 347 | Additional permissions that are applicable to the entire Program shall 348 | be treated as though they were included in this License, to the extent 349 | that they are valid under applicable law. If additional permissions 350 | apply only to part of the Program, that part may be used separately 351 | under those permissions, but the entire Program remains governed by 352 | this License without regard to the additional permissions. 353 | 354 | When you convey a copy of a covered work, you may at your option 355 | remove any additional permissions from that copy, or from any part of 356 | it. (Additional permissions may be written to require their own 357 | removal in certain cases when you modify the work.) You may place 358 | additional permissions on material, added by you to a covered work, 359 | for which you have or can give appropriate copyright permission. 360 | 361 | Notwithstanding any other provision of this License, for material you 362 | add to a covered work, you may (if authorized by the copyright holders of 363 | that material) supplement the terms of this License with terms: 364 | 365 | a) Disclaiming warranty or limiting liability differently from the 366 | terms of sections 15 and 16 of this License; or 367 | 368 | b) Requiring preservation of specified reasonable legal notices or 369 | author attributions in that material or in the Appropriate Legal 370 | Notices displayed by works containing it; or 371 | 372 | c) Prohibiting misrepresentation of the origin of that material, or 373 | requiring that modified versions of such material be marked in 374 | reasonable ways as different from the original version; or 375 | 376 | d) Limiting the use for publicity purposes of names of licensors or 377 | authors of the material; or 378 | 379 | e) Declining to grant rights under trademark law for use of some 380 | trade names, trademarks, or service marks; or 381 | 382 | f) Requiring indemnification of licensors and authors of that 383 | material by anyone who conveys the material (or modified versions of 384 | it) with contractual assumptions of liability to the recipient, for 385 | any liability that these contractual assumptions directly impose on 386 | those licensors and authors. 387 | 388 | All other non-permissive additional terms are considered "further 389 | restrictions" within the meaning of section 10. If the Program as you 390 | received it, or any part of it, contains a notice stating that it is 391 | governed by this License along with a term that is a further 392 | restriction, you may remove that term. If a license document contains 393 | a further restriction but permits relicensing or conveying under this 394 | License, you may add to a covered work material governed by the terms 395 | of that license document, provided that the further restriction does 396 | not survive such relicensing or conveying. 397 | 398 | If you add terms to a covered work in accord with this section, you 399 | must place, in the relevant source files, a statement of the 400 | additional terms that apply to those files, or a notice indicating 401 | where to find the applicable terms. 402 | 403 | Additional terms, permissive or non-permissive, may be stated in the 404 | form of a separately written license, or stated as exceptions; 405 | the above requirements apply either way. 406 | 407 | 8. Termination. 408 | 409 | You may not propagate or modify a covered work except as expressly 410 | provided under this License. Any attempt otherwise to propagate or 411 | modify it is void, and will automatically terminate your rights under 412 | this License (including any patent licenses granted under the third 413 | paragraph of section 11). 414 | 415 | However, if you cease all violation of this License, then your 416 | license from a particular copyright holder is reinstated (a) 417 | provisionally, unless and until the copyright holder explicitly and 418 | finally terminates your license, and (b) permanently, if the copyright 419 | holder fails to notify you of the violation by some reasonable means 420 | prior to 60 days after the cessation. 421 | 422 | Moreover, your license from a particular copyright holder is 423 | reinstated permanently if the copyright holder notifies you of the 424 | violation by some reasonable means, this is the first time you have 425 | received notice of violation of this License (for any work) from that 426 | copyright holder, and you cure the violation prior to 30 days after 427 | your receipt of the notice. 428 | 429 | Termination of your rights under this section does not terminate the 430 | licenses of parties who have received copies or rights from you under 431 | this License. If your rights have been terminated and not permanently 432 | reinstated, you do not qualify to receive new licenses for the same 433 | material under section 10. 434 | 435 | 9. Acceptance Not Required for Having Copies. 436 | 437 | You are not required to accept this License in order to receive or 438 | run a copy of the Program. Ancillary propagation of a covered work 439 | occurring solely as a consequence of using peer-to-peer transmission 440 | to receive a copy likewise does not require acceptance. However, 441 | nothing other than this License grants you permission to propagate or 442 | modify any covered work. These actions infringe copyright if you do 443 | not accept this License. Therefore, by modifying or propagating a 444 | covered work, you indicate your acceptance of this License to do so. 445 | 446 | 10. Automatic Licensing of Downstream Recipients. 447 | 448 | Each time you convey a covered work, the recipient automatically 449 | receives a license from the original licensors, to run, modify and 450 | propagate that work, subject to this License. You are not responsible 451 | for enforcing compliance by third parties with this License. 452 | 453 | An "entity transaction" is a transaction transferring control of an 454 | organization, or substantially all assets of one, or subdividing an 455 | organization, or merging organizations. If propagation of a covered 456 | work results from an entity transaction, each party to that 457 | transaction who receives a copy of the work also receives whatever 458 | licenses to the work the party's predecessor in interest had or could 459 | give under the previous paragraph, plus a right to possession of the 460 | Corresponding Source of the work from the predecessor in interest, if 461 | the predecessor has it or can get it with reasonable efforts. 462 | 463 | You may not impose any further restrictions on the exercise of the 464 | rights granted or affirmed under this License. For example, you may 465 | not impose a license fee, royalty, or other charge for exercise of 466 | rights granted under this License, and you may not initiate litigation 467 | (including a cross-claim or counterclaim in a lawsuit) alleging that 468 | any patent claim is infringed by making, using, selling, offering for 469 | sale, or importing the Program or any portion of it. 470 | 471 | 11. Patents. 472 | 473 | A "contributor" is a copyright holder who authorizes use under this 474 | License of the Program or a work on which the Program is based. The 475 | work thus licensed is called the contributor's "contributor version". 476 | 477 | A contributor's "essential patent claims" are all patent claims 478 | owned or controlled by the contributor, whether already acquired or 479 | hereafter acquired, that would be infringed by some manner, permitted 480 | by this License, of making, using, or selling its contributor version, 481 | but do not include claims that would be infringed only as a 482 | consequence of further modification of the contributor version. For 483 | purposes of this definition, "control" includes the right to grant 484 | patent sublicenses in a manner consistent with the requirements of 485 | this License. 486 | 487 | Each contributor grants you a non-exclusive, worldwide, royalty-free 488 | patent license under the contributor's essential patent claims, to 489 | make, use, sell, offer for sale, import and otherwise run, modify and 490 | propagate the contents of its contributor version. 491 | 492 | In the following three paragraphs, a "patent license" is any express 493 | agreement or commitment, however denominated, not to enforce a patent 494 | (such as an express permission to practice a patent or covenant not to 495 | sue for patent infringement). To "grant" such a patent license to a 496 | party means to make such an agreement or commitment not to enforce a 497 | patent against the party. 498 | 499 | If you convey a covered work, knowingly relying on a patent license, 500 | and the Corresponding Source of the work is not available for anyone 501 | to copy, free of charge and under the terms of this License, through a 502 | publicly available network server or other readily accessible means, 503 | then you must either (1) cause the Corresponding Source to be so 504 | available, or (2) arrange to deprive yourself of the benefit of the 505 | patent license for this particular work, or (3) arrange, in a manner 506 | consistent with the requirements of this License, to extend the patent 507 | license to downstream recipients. "Knowingly relying" means you have 508 | actual knowledge that, but for the patent license, your conveying the 509 | covered work in a country, or your recipient's use of the covered work 510 | in a country, would infringe one or more identifiable patents in that 511 | country that you have reason to believe are valid. 512 | 513 | If, pursuant to or in connection with a single transaction or 514 | arrangement, you convey, or propagate by procuring conveyance of, a 515 | covered work, and grant a patent license to some of the parties 516 | receiving the covered work authorizing them to use, propagate, modify 517 | or convey a specific copy of the covered work, then the patent license 518 | you grant is automatically extended to all recipients of the covered 519 | work and works based on it. 520 | 521 | A patent license is "discriminatory" if it does not include within 522 | the scope of its coverage, prohibits the exercise of, or is 523 | conditioned on the non-exercise of one or more of the rights that are 524 | specifically granted under this License. You may not convey a covered 525 | work if you are a party to an arrangement with a third party that is 526 | in the business of distributing software, under which you make payment 527 | to the third party based on the extent of your activity of conveying 528 | the work, and under which the third party grants, to any of the 529 | parties who would receive the covered work from you, a discriminatory 530 | patent license (a) in connection with copies of the covered work 531 | conveyed by you (or copies made from those copies), or (b) primarily 532 | for and in connection with specific products or compilations that 533 | contain the covered work, unless you entered into that arrangement, 534 | or that patent license was granted, prior to 28 March 2007. 535 | 536 | Nothing in this License shall be construed as excluding or limiting 537 | any implied license or other defenses to infringement that may 538 | otherwise be available to you under applicable patent law. 539 | 540 | 12. No Surrender of Others' Freedom. 541 | 542 | If conditions are imposed on you (whether by court order, agreement or 543 | otherwise) that contradict the conditions of this License, they do not 544 | excuse you from the conditions of this License. If you cannot convey a 545 | covered work so as to satisfy simultaneously your obligations under this 546 | License and any other pertinent obligations, then as a consequence you may 547 | not convey it at all. For example, if you agree to terms that obligate you 548 | to collect a royalty for further conveying from those to whom you convey 549 | the Program, the only way you could satisfy both those terms and this 550 | License would be to refrain entirely from conveying the Program. 551 | 552 | 13. Use with the GNU Affero General Public License. 553 | 554 | Notwithstanding any other provision of this License, you have 555 | permission to link or combine any covered work with a work licensed 556 | under version 3 of the GNU Affero General Public License into a single 557 | combined work, and to convey the resulting work. The terms of this 558 | License will continue to apply to the part which is the covered work, 559 | but the special requirements of the GNU Affero General Public License, 560 | section 13, concerning interaction through a network will apply to the 561 | combination as such. 562 | 563 | 14. Revised Versions of this License. 564 | 565 | The Free Software Foundation may publish revised and/or new versions of 566 | the GNU General Public License from time to time. Such new versions will 567 | be similar in spirit to the present version, but may differ in detail to 568 | address new problems or concerns. 569 | 570 | Each version is given a distinguishing version number. If the 571 | Program specifies that a certain numbered version of the GNU General 572 | Public License "or any later version" applies to it, you have the 573 | option of following the terms and conditions either of that numbered 574 | version or of any later version published by the Free Software 575 | Foundation. If the Program does not specify a version number of the 576 | GNU General Public License, you may choose any version ever published 577 | by the Free Software Foundation. 578 | 579 | If the Program specifies that a proxy can decide which future 580 | versions of the GNU General Public License can be used, that proxy's 581 | public statement of acceptance of a version permanently authorizes you 582 | to choose that version for the Program. 583 | 584 | Later license versions may give you additional or different 585 | permissions. However, no additional obligations are imposed on any 586 | author or copyright holder as a result of your choosing to follow a 587 | later version. 588 | 589 | 15. Disclaimer of Warranty. 590 | 591 | THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY 592 | APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT 593 | HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY 594 | OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, 595 | THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 596 | PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM 597 | IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF 598 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 599 | 600 | 16. Limitation of Liability. 601 | 602 | IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING 603 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS 604 | THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY 605 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE 606 | USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF 607 | DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD 608 | PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), 609 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF 610 | SUCH DAMAGES. 611 | 612 | 17. Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | {one line to give the program's name and a brief idea of what it does.} 635 | Copyright (C) {year} {name of author} 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | {project} Copyright (C) {year} {fullname} 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # PyTorch-SRGAN 2 | A modern PyTorch implementation of SRGAN 3 | 4 | It is deeply based on __Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network__ paper published by the Twitter team (https://arxiv.org/abs/1609.04802) but I replaced activations by Swish (https://arxiv.org/abs/1710.05941) 5 | 6 | You can start training out-of-the-box with the CIFAR-10 or CIFAR-100 datasets, to emulate the paper results however, you will need to download and clean the ImageNet dataset yourself. Results and weights are provided for the ImageNet dataset. 7 | 8 | Contributions are welcome! 9 | 10 | ## Requirements 11 | 12 | * PyTorch 13 | * torchvision 14 | * tensorboard_logger (https://github.com/TeamHG-Memex/tensorboard_logger) 15 | 16 | ## Training 17 | 18 | ``` 19 | usage: train [-h] [--dataset DATASET] [--dataroot DATAROOT] 20 | [--workers WORKERS] [--batchSize BATCHSIZE] 21 | [--imageSize IMAGESIZE] [--upSampling UPSAMPLING] 22 | [--nEpochs NEPOCHS] [--generatorLR GENERATORLR] 23 | [--discriminatorLR DISCRIMINATORLR] [--cuda] [--nGPU NGPU] 24 | [--generatorWeights GENERATORWEIGHTS] 25 | [--discriminatorWeights DISCRIMINATORWEIGHTS] [--out OUT] 26 | ``` 27 | 28 | Example: ```./train --cuda``` 29 | 30 | This will start a training session in the GPU. First it will pre-train the generator using MSE error for 2 epochs, then it will train the full GAN (generator + discriminator) for 100 epochs, using content (mse + vgg) and adversarial loss. Although weights are already provided in the repository, this script will also generate them in the checkpoints file. 31 | 32 | ## Testing 33 | 34 | ``` 35 | usage: test [-h] [--dataset DATASET] [--dataroot DATAROOT] [--workers WORKERS] 36 | [--batchSize BATCHSIZE] [--imageSize IMAGESIZE] 37 | [--upSampling UPSAMPLING] [--cuda] [--nGPU NGPU] 38 | [--generatorWeights GENERATORWEIGHTS] 39 | [--discriminatorWeights DISCRIMINATORWEIGHTS] 40 | 41 | ``` 42 | 43 | Example: ```./test --cuda``` 44 | 45 | This will start a testing session in the GPU. It will display mean error values and save the generated images in the output directory, all three versions: low resolution, high resolution (original) and high resolution (generated). 46 | 47 | ## Results 48 | 49 | ### Training 50 | The following results have been obtained with the current training setup: 51 | 52 | * Dataset: 350K randomly selected ImageNet samples 53 | * Input image size: 24x24 54 | * Output image size: 96x96 (16x) 55 | 56 | Other training parameters are the default of _train_ script 57 | 58 | ![Tensorboard training graphs](https://raw.githubusercontent.com/ai-tor/PyTorchSRGAN/master/output/training_results.png) 59 | 60 | ### Testing 61 | Testing has been executed on 128 randomly selected ImageNet samples (disjoint from training set) 62 | 63 | ```[7/8] Discriminator_Loss: 1.4123 Generator_Loss (Content/Advers/Total): 0.0901/0.6152/0.0908``` 64 | 65 | ### Examples 66 | See more under the _output_ directory 67 | 68 | __High resolution / Low resolution / Recovered High Resolution__ 69 | 70 | ![Original doggy](https://raw.githubusercontent.com/ai-tor/PyTorchSRGAN/master/output/high_res_real/41.png) 71 | Low res doggy 72 | ![Generated doggy](https://raw.githubusercontent.com/ai-tor/PyTorchSRGAN/master/output/high_res_fake/41.png) 73 | 74 | ![Original woman](https://raw.githubusercontent.com/ai-tor/PyTorchSRGAN/master/output/high_res_real/38.png) 75 | Low res woman 76 | ![Generated woman](https://raw.githubusercontent.com/ai-tor/PyTorchSRGAN/master/output/high_res_fake/38.png) 77 | 78 | ![Original hair](https://raw.githubusercontent.com/ai-tor/PyTorchSRGAN/master/output/high_res_real/127.png) 79 | Low res hair 80 | ![Generated hair](https://raw.githubusercontent.com/ai-tor/PyTorchSRGAN/master/output/high_res_fake/127.png) 81 | 82 | ![Original sand](https://raw.githubusercontent.com/ai-tor/PyTorchSRGAN/master/output/high_res_real/72.png) 83 | Low res sand 84 | ![Generated sand](https://raw.githubusercontent.com/ai-tor/PyTorchSRGAN/master/output/high_res_fake/72.png) 85 | -------------------------------------------------------------------------------- /checkpoints/discriminator_final.pth: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/checkpoints/discriminator_final.pth -------------------------------------------------------------------------------- /checkpoints/generator_final.pth: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/checkpoints/generator_final.pth -------------------------------------------------------------------------------- /checkpoints/generator_pretrain.pth: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/checkpoints/generator_pretrain.pth -------------------------------------------------------------------------------- /models.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | """Implements SRGAN models: https://arxiv.org/abs/1609.04802 3 | 4 | TODO: 5 | 6 | """ 7 | 8 | import torch 9 | import torch.nn as nn 10 | import torch.nn.functional as F 11 | from torch.autograd import Variable 12 | 13 | def swish(x): 14 | return x * F.sigmoid(x) 15 | 16 | class FeatureExtractor(nn.Module): 17 | def __init__(self, cnn, feature_layer=11): 18 | super(FeatureExtractor, self).__init__() 19 | self.features = nn.Sequential(*list(cnn.features.children())[:(feature_layer+1)]) 20 | 21 | def forward(self, x): 22 | return self.features(x) 23 | 24 | 25 | class residualBlock(nn.Module): 26 | def __init__(self, in_channels=64, k=3, n=64, s=1): 27 | super(residualBlock, self).__init__() 28 | 29 | self.conv1 = nn.Conv2d(in_channels, n, k, stride=s, padding=1) 30 | self.bn1 = nn.BatchNorm2d(n) 31 | self.conv2 = nn.Conv2d(n, n, k, stride=s, padding=1) 32 | self.bn2 = nn.BatchNorm2d(n) 33 | 34 | def forward(self, x): 35 | y = swish(self.bn1(self.conv1(x))) 36 | return self.bn2(self.conv2(y)) + x 37 | 38 | class upsampleBlock(nn.Module): 39 | # Implements resize-convolution 40 | def __init__(self, in_channels, out_channels): 41 | super(upsampleBlock, self).__init__() 42 | self.conv = nn.Conv2d(in_channels, out_channels, 3, stride=1, padding=1) 43 | self.shuffler = nn.PixelShuffle(2) 44 | 45 | def forward(self, x): 46 | return swish(self.shuffler(self.conv(x))) 47 | 48 | class Generator(nn.Module): 49 | def __init__(self, n_residual_blocks, upsample_factor): 50 | super(Generator, self).__init__() 51 | self.n_residual_blocks = n_residual_blocks 52 | self.upsample_factor = upsample_factor 53 | 54 | self.conv1 = nn.Conv2d(3, 64, 9, stride=1, padding=4) 55 | 56 | for i in range(self.n_residual_blocks): 57 | self.add_module('residual_block' + str(i+1), residualBlock()) 58 | 59 | self.conv2 = nn.Conv2d(64, 64, 3, stride=1, padding=1) 60 | self.bn2 = nn.BatchNorm2d(64) 61 | 62 | for i in range(self.upsample_factor/2): 63 | self.add_module('upsample' + str(i+1), upsampleBlock(64, 256)) 64 | 65 | self.conv3 = nn.Conv2d(64, 3, 9, stride=1, padding=4) 66 | 67 | def forward(self, x): 68 | x = swish(self.conv1(x)) 69 | 70 | y = x.clone() 71 | for i in range(self.n_residual_blocks): 72 | y = self.__getattr__('residual_block' + str(i+1))(y) 73 | 74 | x = self.bn2(self.conv2(y)) + x 75 | 76 | for i in range(self.upsample_factor/2): 77 | x = self.__getattr__('upsample' + str(i+1))(x) 78 | 79 | return self.conv3(x) 80 | 81 | class Discriminator(nn.Module): 82 | def __init__(self): 83 | super(Discriminator, self).__init__() 84 | self.conv1 = nn.Conv2d(3, 64, 3, stride=1, padding=1) 85 | 86 | self.conv2 = nn.Conv2d(64, 64, 3, stride=2, padding=1) 87 | self.bn2 = nn.BatchNorm2d(64) 88 | self.conv3 = nn.Conv2d(64, 128, 3, stride=1, padding=1) 89 | self.bn3 = nn.BatchNorm2d(128) 90 | self.conv4 = nn.Conv2d(128, 128, 3, stride=2, padding=1) 91 | self.bn4 = nn.BatchNorm2d(128) 92 | self.conv5 = nn.Conv2d(128, 256, 3, stride=1, padding=1) 93 | self.bn5 = nn.BatchNorm2d(256) 94 | self.conv6 = nn.Conv2d(256, 256, 3, stride=2, padding=1) 95 | self.bn6 = nn.BatchNorm2d(256) 96 | self.conv7 = nn.Conv2d(256, 512, 3, stride=1, padding=1) 97 | self.bn7 = nn.BatchNorm2d(512) 98 | self.conv8 = nn.Conv2d(512, 512, 3, stride=2, padding=1) 99 | self.bn8 = nn.BatchNorm2d(512) 100 | 101 | # Replaced original paper FC layers with FCN 102 | self.conv9 = nn.Conv2d(512, 1, 1, stride=1, padding=1) 103 | 104 | def forward(self, x): 105 | x = swish(self.conv1(x)) 106 | 107 | x = swish(self.bn2(self.conv2(x))) 108 | x = swish(self.bn3(self.conv3(x))) 109 | x = swish(self.bn4(self.conv4(x))) 110 | x = swish(self.bn5(self.conv5(x))) 111 | x = swish(self.bn6(self.conv6(x))) 112 | x = swish(self.bn7(self.conv7(x))) 113 | x = swish(self.bn8(self.conv8(x))) 114 | 115 | x = self.conv9(x) 116 | return F.sigmoid(F.avg_pool2d(x, x.size()[2:])).view(x.size()[0], -1) 117 | -------------------------------------------------------------------------------- /output/high_res_fake/0.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/0.png -------------------------------------------------------------------------------- /output/high_res_fake/1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/1.png -------------------------------------------------------------------------------- /output/high_res_fake/10.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/10.png -------------------------------------------------------------------------------- /output/high_res_fake/100.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/100.png -------------------------------------------------------------------------------- /output/high_res_fake/101.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/101.png -------------------------------------------------------------------------------- /output/high_res_fake/102.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/102.png -------------------------------------------------------------------------------- /output/high_res_fake/103.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/103.png -------------------------------------------------------------------------------- /output/high_res_fake/104.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/104.png -------------------------------------------------------------------------------- /output/high_res_fake/105.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/105.png -------------------------------------------------------------------------------- /output/high_res_fake/106.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/106.png -------------------------------------------------------------------------------- /output/high_res_fake/107.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/107.png -------------------------------------------------------------------------------- /output/high_res_fake/108.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/108.png -------------------------------------------------------------------------------- /output/high_res_fake/109.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/109.png -------------------------------------------------------------------------------- /output/high_res_fake/11.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/11.png -------------------------------------------------------------------------------- /output/high_res_fake/110.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/110.png -------------------------------------------------------------------------------- /output/high_res_fake/111.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/111.png -------------------------------------------------------------------------------- /output/high_res_fake/112.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/112.png -------------------------------------------------------------------------------- /output/high_res_fake/113.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/113.png -------------------------------------------------------------------------------- /output/high_res_fake/114.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/114.png -------------------------------------------------------------------------------- /output/high_res_fake/115.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/115.png -------------------------------------------------------------------------------- /output/high_res_fake/116.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/116.png -------------------------------------------------------------------------------- /output/high_res_fake/117.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/117.png -------------------------------------------------------------------------------- /output/high_res_fake/118.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/118.png -------------------------------------------------------------------------------- /output/high_res_fake/119.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/119.png -------------------------------------------------------------------------------- /output/high_res_fake/12.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/12.png -------------------------------------------------------------------------------- /output/high_res_fake/120.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/120.png -------------------------------------------------------------------------------- /output/high_res_fake/121.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/121.png -------------------------------------------------------------------------------- /output/high_res_fake/122.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/122.png -------------------------------------------------------------------------------- /output/high_res_fake/123.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/123.png -------------------------------------------------------------------------------- /output/high_res_fake/124.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/124.png -------------------------------------------------------------------------------- /output/high_res_fake/125.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/125.png -------------------------------------------------------------------------------- /output/high_res_fake/126.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/126.png -------------------------------------------------------------------------------- /output/high_res_fake/127.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/127.png -------------------------------------------------------------------------------- /output/high_res_fake/13.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/13.png -------------------------------------------------------------------------------- /output/high_res_fake/14.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/14.png -------------------------------------------------------------------------------- /output/high_res_fake/15.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/15.png -------------------------------------------------------------------------------- /output/high_res_fake/16.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/16.png -------------------------------------------------------------------------------- /output/high_res_fake/17.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/17.png -------------------------------------------------------------------------------- /output/high_res_fake/18.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/18.png -------------------------------------------------------------------------------- /output/high_res_fake/19.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/19.png -------------------------------------------------------------------------------- /output/high_res_fake/2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/2.png -------------------------------------------------------------------------------- /output/high_res_fake/20.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/20.png -------------------------------------------------------------------------------- /output/high_res_fake/21.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/21.png -------------------------------------------------------------------------------- /output/high_res_fake/22.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/22.png -------------------------------------------------------------------------------- /output/high_res_fake/23.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/23.png -------------------------------------------------------------------------------- /output/high_res_fake/24.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/24.png -------------------------------------------------------------------------------- /output/high_res_fake/25.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/25.png -------------------------------------------------------------------------------- /output/high_res_fake/26.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/26.png -------------------------------------------------------------------------------- /output/high_res_fake/27.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/27.png -------------------------------------------------------------------------------- /output/high_res_fake/28.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/28.png -------------------------------------------------------------------------------- /output/high_res_fake/29.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/29.png -------------------------------------------------------------------------------- /output/high_res_fake/3.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/3.png -------------------------------------------------------------------------------- /output/high_res_fake/30.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/30.png -------------------------------------------------------------------------------- /output/high_res_fake/31.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/31.png -------------------------------------------------------------------------------- /output/high_res_fake/32.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/32.png -------------------------------------------------------------------------------- /output/high_res_fake/33.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/33.png -------------------------------------------------------------------------------- /output/high_res_fake/34.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/34.png -------------------------------------------------------------------------------- /output/high_res_fake/35.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/35.png -------------------------------------------------------------------------------- /output/high_res_fake/36.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/36.png -------------------------------------------------------------------------------- /output/high_res_fake/37.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/37.png -------------------------------------------------------------------------------- /output/high_res_fake/38.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/38.png -------------------------------------------------------------------------------- /output/high_res_fake/39.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/39.png -------------------------------------------------------------------------------- /output/high_res_fake/4.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/4.png -------------------------------------------------------------------------------- /output/high_res_fake/40.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/40.png -------------------------------------------------------------------------------- /output/high_res_fake/41.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/41.png -------------------------------------------------------------------------------- /output/high_res_fake/42.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/42.png -------------------------------------------------------------------------------- /output/high_res_fake/43.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/43.png -------------------------------------------------------------------------------- /output/high_res_fake/44.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/44.png -------------------------------------------------------------------------------- /output/high_res_fake/45.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/45.png -------------------------------------------------------------------------------- /output/high_res_fake/46.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/46.png -------------------------------------------------------------------------------- /output/high_res_fake/47.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/47.png -------------------------------------------------------------------------------- /output/high_res_fake/48.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/48.png -------------------------------------------------------------------------------- /output/high_res_fake/49.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/49.png -------------------------------------------------------------------------------- /output/high_res_fake/5.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/5.png -------------------------------------------------------------------------------- /output/high_res_fake/50.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/50.png -------------------------------------------------------------------------------- /output/high_res_fake/51.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/51.png -------------------------------------------------------------------------------- /output/high_res_fake/52.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/52.png -------------------------------------------------------------------------------- /output/high_res_fake/53.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/53.png -------------------------------------------------------------------------------- /output/high_res_fake/54.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/54.png -------------------------------------------------------------------------------- /output/high_res_fake/55.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/55.png -------------------------------------------------------------------------------- /output/high_res_fake/56.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/56.png -------------------------------------------------------------------------------- /output/high_res_fake/57.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/57.png -------------------------------------------------------------------------------- /output/high_res_fake/58.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/58.png -------------------------------------------------------------------------------- /output/high_res_fake/59.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/59.png -------------------------------------------------------------------------------- /output/high_res_fake/6.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/6.png -------------------------------------------------------------------------------- /output/high_res_fake/60.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/60.png -------------------------------------------------------------------------------- /output/high_res_fake/61.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/61.png -------------------------------------------------------------------------------- /output/high_res_fake/62.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/62.png -------------------------------------------------------------------------------- /output/high_res_fake/63.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/63.png -------------------------------------------------------------------------------- /output/high_res_fake/64.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/64.png -------------------------------------------------------------------------------- /output/high_res_fake/65.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/65.png -------------------------------------------------------------------------------- /output/high_res_fake/66.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/66.png -------------------------------------------------------------------------------- /output/high_res_fake/67.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/67.png -------------------------------------------------------------------------------- /output/high_res_fake/68.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/68.png -------------------------------------------------------------------------------- /output/high_res_fake/69.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/69.png -------------------------------------------------------------------------------- /output/high_res_fake/7.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/7.png -------------------------------------------------------------------------------- /output/high_res_fake/70.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/70.png -------------------------------------------------------------------------------- /output/high_res_fake/71.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/71.png -------------------------------------------------------------------------------- /output/high_res_fake/72.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/72.png -------------------------------------------------------------------------------- /output/high_res_fake/73.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/73.png -------------------------------------------------------------------------------- /output/high_res_fake/74.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/74.png -------------------------------------------------------------------------------- /output/high_res_fake/75.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/75.png -------------------------------------------------------------------------------- /output/high_res_fake/76.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/76.png -------------------------------------------------------------------------------- /output/high_res_fake/77.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/77.png -------------------------------------------------------------------------------- /output/high_res_fake/78.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/78.png -------------------------------------------------------------------------------- /output/high_res_fake/79.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/79.png -------------------------------------------------------------------------------- /output/high_res_fake/8.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/8.png -------------------------------------------------------------------------------- /output/high_res_fake/80.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/80.png -------------------------------------------------------------------------------- /output/high_res_fake/81.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/81.png -------------------------------------------------------------------------------- /output/high_res_fake/82.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/82.png -------------------------------------------------------------------------------- /output/high_res_fake/83.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/83.png -------------------------------------------------------------------------------- /output/high_res_fake/84.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/84.png -------------------------------------------------------------------------------- /output/high_res_fake/85.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/85.png -------------------------------------------------------------------------------- /output/high_res_fake/86.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/86.png -------------------------------------------------------------------------------- /output/high_res_fake/87.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/87.png -------------------------------------------------------------------------------- /output/high_res_fake/88.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/88.png -------------------------------------------------------------------------------- /output/high_res_fake/89.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/89.png -------------------------------------------------------------------------------- /output/high_res_fake/9.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/9.png -------------------------------------------------------------------------------- /output/high_res_fake/90.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/90.png -------------------------------------------------------------------------------- /output/high_res_fake/91.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/91.png -------------------------------------------------------------------------------- /output/high_res_fake/92.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/92.png -------------------------------------------------------------------------------- /output/high_res_fake/93.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/93.png -------------------------------------------------------------------------------- /output/high_res_fake/94.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/94.png -------------------------------------------------------------------------------- /output/high_res_fake/95.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/95.png -------------------------------------------------------------------------------- /output/high_res_fake/96.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/96.png -------------------------------------------------------------------------------- /output/high_res_fake/97.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/97.png -------------------------------------------------------------------------------- /output/high_res_fake/98.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/98.png -------------------------------------------------------------------------------- /output/high_res_fake/99.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_fake/99.png -------------------------------------------------------------------------------- /output/high_res_real/0.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/0.png -------------------------------------------------------------------------------- /output/high_res_real/1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/1.png -------------------------------------------------------------------------------- /output/high_res_real/10.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/10.png -------------------------------------------------------------------------------- /output/high_res_real/100.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/100.png -------------------------------------------------------------------------------- /output/high_res_real/101.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/101.png -------------------------------------------------------------------------------- /output/high_res_real/102.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/102.png -------------------------------------------------------------------------------- /output/high_res_real/103.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/103.png -------------------------------------------------------------------------------- /output/high_res_real/104.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/104.png -------------------------------------------------------------------------------- /output/high_res_real/105.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/105.png -------------------------------------------------------------------------------- /output/high_res_real/106.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/106.png -------------------------------------------------------------------------------- /output/high_res_real/107.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/107.png -------------------------------------------------------------------------------- /output/high_res_real/108.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/108.png -------------------------------------------------------------------------------- /output/high_res_real/109.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/109.png -------------------------------------------------------------------------------- /output/high_res_real/11.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/11.png -------------------------------------------------------------------------------- /output/high_res_real/110.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/110.png -------------------------------------------------------------------------------- /output/high_res_real/111.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/111.png -------------------------------------------------------------------------------- /output/high_res_real/112.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/112.png -------------------------------------------------------------------------------- /output/high_res_real/113.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/113.png -------------------------------------------------------------------------------- /output/high_res_real/114.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/114.png -------------------------------------------------------------------------------- /output/high_res_real/115.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/115.png -------------------------------------------------------------------------------- /output/high_res_real/116.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/116.png -------------------------------------------------------------------------------- /output/high_res_real/117.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/117.png -------------------------------------------------------------------------------- /output/high_res_real/118.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/118.png -------------------------------------------------------------------------------- /output/high_res_real/119.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/119.png -------------------------------------------------------------------------------- /output/high_res_real/12.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/12.png -------------------------------------------------------------------------------- /output/high_res_real/120.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/120.png -------------------------------------------------------------------------------- /output/high_res_real/121.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/121.png -------------------------------------------------------------------------------- /output/high_res_real/122.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/122.png -------------------------------------------------------------------------------- /output/high_res_real/123.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/123.png -------------------------------------------------------------------------------- /output/high_res_real/124.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/124.png -------------------------------------------------------------------------------- /output/high_res_real/125.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/125.png -------------------------------------------------------------------------------- /output/high_res_real/126.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/126.png -------------------------------------------------------------------------------- /output/high_res_real/127.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/127.png -------------------------------------------------------------------------------- /output/high_res_real/13.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/13.png -------------------------------------------------------------------------------- /output/high_res_real/14.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/14.png -------------------------------------------------------------------------------- /output/high_res_real/15.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/15.png -------------------------------------------------------------------------------- /output/high_res_real/16.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/16.png -------------------------------------------------------------------------------- /output/high_res_real/17.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/17.png -------------------------------------------------------------------------------- /output/high_res_real/18.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/18.png -------------------------------------------------------------------------------- /output/high_res_real/19.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/19.png -------------------------------------------------------------------------------- /output/high_res_real/2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/2.png -------------------------------------------------------------------------------- /output/high_res_real/20.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/20.png -------------------------------------------------------------------------------- /output/high_res_real/21.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/21.png -------------------------------------------------------------------------------- /output/high_res_real/22.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/22.png -------------------------------------------------------------------------------- /output/high_res_real/23.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/23.png -------------------------------------------------------------------------------- /output/high_res_real/24.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/24.png -------------------------------------------------------------------------------- /output/high_res_real/25.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/25.png -------------------------------------------------------------------------------- /output/high_res_real/26.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/26.png -------------------------------------------------------------------------------- /output/high_res_real/27.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/27.png -------------------------------------------------------------------------------- /output/high_res_real/28.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/28.png -------------------------------------------------------------------------------- /output/high_res_real/29.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/29.png -------------------------------------------------------------------------------- /output/high_res_real/3.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/3.png -------------------------------------------------------------------------------- /output/high_res_real/30.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/30.png -------------------------------------------------------------------------------- /output/high_res_real/31.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/31.png -------------------------------------------------------------------------------- /output/high_res_real/32.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/32.png -------------------------------------------------------------------------------- /output/high_res_real/33.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/33.png -------------------------------------------------------------------------------- /output/high_res_real/34.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/34.png -------------------------------------------------------------------------------- /output/high_res_real/35.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/35.png -------------------------------------------------------------------------------- /output/high_res_real/36.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/36.png -------------------------------------------------------------------------------- /output/high_res_real/37.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/37.png -------------------------------------------------------------------------------- /output/high_res_real/38.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/38.png -------------------------------------------------------------------------------- /output/high_res_real/39.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/39.png -------------------------------------------------------------------------------- /output/high_res_real/4.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/4.png -------------------------------------------------------------------------------- /output/high_res_real/40.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/40.png -------------------------------------------------------------------------------- /output/high_res_real/41.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/41.png -------------------------------------------------------------------------------- /output/high_res_real/42.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/42.png -------------------------------------------------------------------------------- /output/high_res_real/43.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/43.png -------------------------------------------------------------------------------- /output/high_res_real/44.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/44.png -------------------------------------------------------------------------------- /output/high_res_real/45.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/45.png -------------------------------------------------------------------------------- /output/high_res_real/46.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/46.png -------------------------------------------------------------------------------- /output/high_res_real/47.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/47.png -------------------------------------------------------------------------------- /output/high_res_real/48.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/48.png -------------------------------------------------------------------------------- /output/high_res_real/49.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/49.png -------------------------------------------------------------------------------- /output/high_res_real/5.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/5.png -------------------------------------------------------------------------------- /output/high_res_real/50.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/50.png -------------------------------------------------------------------------------- /output/high_res_real/51.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/51.png -------------------------------------------------------------------------------- /output/high_res_real/52.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/52.png -------------------------------------------------------------------------------- /output/high_res_real/53.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/53.png -------------------------------------------------------------------------------- /output/high_res_real/54.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/54.png -------------------------------------------------------------------------------- /output/high_res_real/55.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/55.png -------------------------------------------------------------------------------- /output/high_res_real/56.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/56.png -------------------------------------------------------------------------------- /output/high_res_real/57.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/57.png -------------------------------------------------------------------------------- /output/high_res_real/58.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/58.png -------------------------------------------------------------------------------- /output/high_res_real/59.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/59.png -------------------------------------------------------------------------------- /output/high_res_real/6.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/6.png -------------------------------------------------------------------------------- /output/high_res_real/60.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/60.png -------------------------------------------------------------------------------- /output/high_res_real/61.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/61.png -------------------------------------------------------------------------------- /output/high_res_real/62.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/62.png -------------------------------------------------------------------------------- /output/high_res_real/63.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/63.png -------------------------------------------------------------------------------- /output/high_res_real/64.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/64.png -------------------------------------------------------------------------------- /output/high_res_real/65.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/65.png -------------------------------------------------------------------------------- /output/high_res_real/66.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/66.png -------------------------------------------------------------------------------- /output/high_res_real/67.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/67.png -------------------------------------------------------------------------------- /output/high_res_real/68.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/68.png -------------------------------------------------------------------------------- /output/high_res_real/69.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/69.png -------------------------------------------------------------------------------- /output/high_res_real/7.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/7.png -------------------------------------------------------------------------------- /output/high_res_real/70.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/70.png -------------------------------------------------------------------------------- /output/high_res_real/71.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/71.png -------------------------------------------------------------------------------- /output/high_res_real/72.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/72.png -------------------------------------------------------------------------------- /output/high_res_real/73.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/73.png -------------------------------------------------------------------------------- /output/high_res_real/74.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/74.png -------------------------------------------------------------------------------- /output/high_res_real/75.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/75.png -------------------------------------------------------------------------------- /output/high_res_real/76.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/76.png -------------------------------------------------------------------------------- /output/high_res_real/77.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/77.png -------------------------------------------------------------------------------- /output/high_res_real/78.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/78.png -------------------------------------------------------------------------------- /output/high_res_real/79.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/79.png -------------------------------------------------------------------------------- /output/high_res_real/8.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/8.png -------------------------------------------------------------------------------- /output/high_res_real/80.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/80.png -------------------------------------------------------------------------------- /output/high_res_real/81.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/81.png -------------------------------------------------------------------------------- /output/high_res_real/82.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/82.png -------------------------------------------------------------------------------- /output/high_res_real/83.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/83.png -------------------------------------------------------------------------------- /output/high_res_real/84.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/84.png -------------------------------------------------------------------------------- /output/high_res_real/85.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/85.png -------------------------------------------------------------------------------- /output/high_res_real/86.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/86.png -------------------------------------------------------------------------------- /output/high_res_real/87.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/87.png -------------------------------------------------------------------------------- /output/high_res_real/88.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/88.png -------------------------------------------------------------------------------- /output/high_res_real/89.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/89.png -------------------------------------------------------------------------------- /output/high_res_real/9.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/9.png -------------------------------------------------------------------------------- /output/high_res_real/90.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/90.png -------------------------------------------------------------------------------- /output/high_res_real/91.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/91.png -------------------------------------------------------------------------------- /output/high_res_real/92.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/92.png -------------------------------------------------------------------------------- /output/high_res_real/93.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/93.png -------------------------------------------------------------------------------- /output/high_res_real/94.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/94.png -------------------------------------------------------------------------------- /output/high_res_real/95.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/95.png -------------------------------------------------------------------------------- /output/high_res_real/96.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/96.png -------------------------------------------------------------------------------- /output/high_res_real/97.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/97.png -------------------------------------------------------------------------------- /output/high_res_real/98.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/98.png -------------------------------------------------------------------------------- /output/high_res_real/99.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/high_res_real/99.png -------------------------------------------------------------------------------- /output/low_res/0.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/0.png -------------------------------------------------------------------------------- /output/low_res/1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/1.png -------------------------------------------------------------------------------- /output/low_res/10.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/10.png -------------------------------------------------------------------------------- /output/low_res/100.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/100.png -------------------------------------------------------------------------------- /output/low_res/101.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/101.png -------------------------------------------------------------------------------- /output/low_res/102.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/102.png -------------------------------------------------------------------------------- /output/low_res/103.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/103.png -------------------------------------------------------------------------------- /output/low_res/104.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/104.png -------------------------------------------------------------------------------- /output/low_res/105.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/105.png -------------------------------------------------------------------------------- /output/low_res/106.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/106.png -------------------------------------------------------------------------------- /output/low_res/107.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/107.png -------------------------------------------------------------------------------- /output/low_res/108.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/108.png -------------------------------------------------------------------------------- /output/low_res/109.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/109.png -------------------------------------------------------------------------------- /output/low_res/11.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/11.png -------------------------------------------------------------------------------- /output/low_res/110.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/110.png -------------------------------------------------------------------------------- /output/low_res/111.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/111.png -------------------------------------------------------------------------------- /output/low_res/112.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/112.png -------------------------------------------------------------------------------- /output/low_res/113.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/113.png -------------------------------------------------------------------------------- /output/low_res/114.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/114.png -------------------------------------------------------------------------------- /output/low_res/115.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/115.png -------------------------------------------------------------------------------- /output/low_res/116.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/116.png -------------------------------------------------------------------------------- /output/low_res/117.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/117.png -------------------------------------------------------------------------------- /output/low_res/118.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/118.png -------------------------------------------------------------------------------- /output/low_res/119.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/119.png -------------------------------------------------------------------------------- /output/low_res/12.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/12.png -------------------------------------------------------------------------------- /output/low_res/120.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/120.png -------------------------------------------------------------------------------- /output/low_res/121.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/121.png -------------------------------------------------------------------------------- /output/low_res/122.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/122.png -------------------------------------------------------------------------------- /output/low_res/123.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/123.png -------------------------------------------------------------------------------- /output/low_res/124.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/124.png -------------------------------------------------------------------------------- /output/low_res/125.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/125.png -------------------------------------------------------------------------------- /output/low_res/126.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/126.png -------------------------------------------------------------------------------- /output/low_res/127.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/127.png -------------------------------------------------------------------------------- /output/low_res/13.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/13.png -------------------------------------------------------------------------------- /output/low_res/14.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/14.png -------------------------------------------------------------------------------- /output/low_res/15.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/15.png -------------------------------------------------------------------------------- /output/low_res/16.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/16.png -------------------------------------------------------------------------------- /output/low_res/17.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/17.png -------------------------------------------------------------------------------- /output/low_res/18.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/18.png -------------------------------------------------------------------------------- /output/low_res/19.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/19.png -------------------------------------------------------------------------------- /output/low_res/2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/2.png -------------------------------------------------------------------------------- /output/low_res/20.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/20.png -------------------------------------------------------------------------------- /output/low_res/21.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/21.png -------------------------------------------------------------------------------- /output/low_res/22.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/22.png -------------------------------------------------------------------------------- /output/low_res/23.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/23.png -------------------------------------------------------------------------------- /output/low_res/24.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/24.png -------------------------------------------------------------------------------- /output/low_res/25.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/25.png -------------------------------------------------------------------------------- /output/low_res/26.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/26.png -------------------------------------------------------------------------------- /output/low_res/27.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/27.png -------------------------------------------------------------------------------- /output/low_res/28.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/28.png -------------------------------------------------------------------------------- /output/low_res/29.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/29.png -------------------------------------------------------------------------------- /output/low_res/3.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/3.png -------------------------------------------------------------------------------- /output/low_res/30.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/30.png -------------------------------------------------------------------------------- /output/low_res/31.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/31.png -------------------------------------------------------------------------------- /output/low_res/32.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/32.png -------------------------------------------------------------------------------- /output/low_res/33.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/33.png -------------------------------------------------------------------------------- /output/low_res/34.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/34.png -------------------------------------------------------------------------------- /output/low_res/35.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/35.png -------------------------------------------------------------------------------- /output/low_res/36.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/36.png -------------------------------------------------------------------------------- /output/low_res/37.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/37.png -------------------------------------------------------------------------------- /output/low_res/38.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/38.png -------------------------------------------------------------------------------- /output/low_res/39.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/39.png -------------------------------------------------------------------------------- /output/low_res/4.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/4.png -------------------------------------------------------------------------------- /output/low_res/40.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/40.png -------------------------------------------------------------------------------- /output/low_res/41.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/41.png -------------------------------------------------------------------------------- /output/low_res/42.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/42.png -------------------------------------------------------------------------------- /output/low_res/43.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/43.png -------------------------------------------------------------------------------- /output/low_res/44.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/44.png -------------------------------------------------------------------------------- /output/low_res/45.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/45.png -------------------------------------------------------------------------------- /output/low_res/46.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/46.png -------------------------------------------------------------------------------- /output/low_res/47.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/47.png -------------------------------------------------------------------------------- /output/low_res/48.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/48.png -------------------------------------------------------------------------------- /output/low_res/49.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/49.png -------------------------------------------------------------------------------- /output/low_res/5.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/5.png -------------------------------------------------------------------------------- /output/low_res/50.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/50.png -------------------------------------------------------------------------------- /output/low_res/51.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/51.png -------------------------------------------------------------------------------- /output/low_res/52.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/52.png -------------------------------------------------------------------------------- /output/low_res/53.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/53.png -------------------------------------------------------------------------------- /output/low_res/54.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/54.png -------------------------------------------------------------------------------- /output/low_res/55.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/55.png -------------------------------------------------------------------------------- /output/low_res/56.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/56.png -------------------------------------------------------------------------------- /output/low_res/57.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/57.png -------------------------------------------------------------------------------- /output/low_res/58.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/58.png -------------------------------------------------------------------------------- /output/low_res/59.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/59.png -------------------------------------------------------------------------------- /output/low_res/6.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/6.png -------------------------------------------------------------------------------- /output/low_res/60.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/60.png -------------------------------------------------------------------------------- /output/low_res/61.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/61.png -------------------------------------------------------------------------------- /output/low_res/62.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/62.png -------------------------------------------------------------------------------- /output/low_res/63.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/63.png -------------------------------------------------------------------------------- /output/low_res/64.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/64.png -------------------------------------------------------------------------------- /output/low_res/65.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/65.png -------------------------------------------------------------------------------- /output/low_res/66.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/66.png -------------------------------------------------------------------------------- /output/low_res/67.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/67.png -------------------------------------------------------------------------------- /output/low_res/68.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/68.png -------------------------------------------------------------------------------- /output/low_res/69.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/69.png -------------------------------------------------------------------------------- /output/low_res/7.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/7.png -------------------------------------------------------------------------------- /output/low_res/70.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/70.png -------------------------------------------------------------------------------- /output/low_res/71.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/71.png -------------------------------------------------------------------------------- /output/low_res/72.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/72.png -------------------------------------------------------------------------------- /output/low_res/73.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/73.png -------------------------------------------------------------------------------- /output/low_res/74.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/74.png -------------------------------------------------------------------------------- /output/low_res/75.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/75.png -------------------------------------------------------------------------------- /output/low_res/76.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/76.png -------------------------------------------------------------------------------- /output/low_res/77.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/77.png -------------------------------------------------------------------------------- /output/low_res/78.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/78.png -------------------------------------------------------------------------------- /output/low_res/79.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/79.png -------------------------------------------------------------------------------- /output/low_res/8.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/8.png -------------------------------------------------------------------------------- /output/low_res/80.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/80.png -------------------------------------------------------------------------------- /output/low_res/81.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/81.png -------------------------------------------------------------------------------- /output/low_res/82.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/82.png -------------------------------------------------------------------------------- /output/low_res/83.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/83.png -------------------------------------------------------------------------------- /output/low_res/84.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/84.png -------------------------------------------------------------------------------- /output/low_res/85.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/85.png -------------------------------------------------------------------------------- /output/low_res/86.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/86.png -------------------------------------------------------------------------------- /output/low_res/87.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/87.png -------------------------------------------------------------------------------- /output/low_res/88.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/88.png -------------------------------------------------------------------------------- /output/low_res/89.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/89.png -------------------------------------------------------------------------------- /output/low_res/9.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/9.png -------------------------------------------------------------------------------- /output/low_res/90.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/90.png -------------------------------------------------------------------------------- /output/low_res/91.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/91.png -------------------------------------------------------------------------------- /output/low_res/92.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/92.png -------------------------------------------------------------------------------- /output/low_res/93.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/93.png -------------------------------------------------------------------------------- /output/low_res/94.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/94.png -------------------------------------------------------------------------------- /output/low_res/95.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/95.png -------------------------------------------------------------------------------- /output/low_res/96.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/96.png -------------------------------------------------------------------------------- /output/low_res/97.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/97.png -------------------------------------------------------------------------------- /output/low_res/98.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/98.png -------------------------------------------------------------------------------- /output/low_res/99.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/low_res/99.png -------------------------------------------------------------------------------- /output/training_results.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aitorzip/PyTorch-SRGAN/5377e3cb63b72db299f610ef21cfb9f1ed2bff5b/output/training_results.png -------------------------------------------------------------------------------- /test: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | 3 | import argparse 4 | import sys 5 | import os 6 | 7 | import torch 8 | import torch.nn as nn 9 | from torch.autograd import Variable 10 | 11 | import torchvision 12 | import torchvision.datasets as datasets 13 | import torchvision.transforms as transforms 14 | from torchvision.utils import save_image 15 | 16 | from models import Generator, Discriminator, FeatureExtractor 17 | 18 | parser = argparse.ArgumentParser() 19 | parser.add_argument('--dataset', type=str, default='cifar100', help='cifar10 | cifar100 | folder') 20 | parser.add_argument('--dataroot', type=str, default='./data', help='path to dataset') 21 | parser.add_argument('--workers', type=int, default=2, help='number of data loading workers') 22 | parser.add_argument('--batchSize', type=int, default=16, help='input batch size') 23 | parser.add_argument('--imageSize', type=int, default=15, help='the low resolution image size') 24 | parser.add_argument('--upSampling', type=int, default=2, help='low to high resolution scaling factor') 25 | parser.add_argument('--cuda', action='store_true', help='enables cuda') 26 | parser.add_argument('--nGPU', type=int, default=1, help='number of GPUs to use') 27 | parser.add_argument('--generatorWeights', type=str, default='checkpoints/generator_final.pth', help="path to generator weights (to continue training)") 28 | parser.add_argument('--discriminatorWeights', type=str, default='checkpoints/discriminator_final.pth', help="path to discriminator weights (to continue training)") 29 | 30 | opt = parser.parse_args() 31 | print(opt) 32 | 33 | try: 34 | os.makedirs('output/high_res_fake') 35 | os.makedirs('output/high_res_real') 36 | os.makedirs('output/low_res') 37 | except OSError: 38 | pass 39 | 40 | 41 | if torch.cuda.is_available() and not opt.cuda: 42 | print("WARNING: You have a CUDA device, so you should probably run with --cuda") 43 | 44 | transform = transforms.Compose([transforms.RandomCrop(opt.imageSize*opt.upSampling), 45 | transforms.ToTensor()]) 46 | 47 | normalize = transforms.Normalize(mean = [0.485, 0.456, 0.406], 48 | std = [0.229, 0.224, 0.225]) 49 | 50 | scale = transforms.Compose([transforms.ToPILImage(), 51 | transforms.Scale(opt.imageSize), 52 | transforms.ToTensor(), 53 | transforms.Normalize(mean = [0.485, 0.456, 0.406], 54 | std = [0.229, 0.224, 0.225]) 55 | ]) 56 | 57 | # Equivalent to un-normalizing ImageNet (for correct visualization) 58 | unnormalize = transforms.Normalize(mean = [-2.118, -2.036, -1.804], std = [4.367, 4.464, 4.444]) 59 | 60 | if opt.dataset == 'folder': 61 | # folder dataset 62 | dataset = datasets.ImageFolder(root=opt.dataroot, transform=transform) 63 | elif opt.dataset == 'cifar10': 64 | dataset = datasets.CIFAR10(root=opt.dataroot, download=True, train=False, transform=transform) 65 | elif opt.dataset == 'cifar100': 66 | dataset = datasets.CIFAR100(root=opt.dataroot, download=True, train=False, transform=transform) 67 | assert dataset 68 | 69 | dataloader = torch.utils.data.DataLoader(dataset, batch_size=opt.batchSize, 70 | shuffle=False, num_workers=int(opt.workers)) 71 | 72 | generator = Generator(16, opt.upSampling) 73 | if opt.generatorWeights != '': 74 | generator.load_state_dict(torch.load(opt.generatorWeights)) 75 | print generator 76 | 77 | discriminator = Discriminator() 78 | if opt.discriminatorWeights != '': 79 | discriminator.load_state_dict(torch.load(opt.discriminatorWeights)) 80 | print discriminator 81 | 82 | # For the content loss 83 | feature_extractor = FeatureExtractor(torchvision.models.vgg19(pretrained=True)) 84 | print feature_extractor 85 | content_criterion = nn.MSELoss() 86 | adversarial_criterion = nn.BCELoss() 87 | 88 | target_real = Variable(torch.ones(opt.batchSize,1)) 89 | target_fake = Variable(torch.zeros(opt.batchSize,1)) 90 | 91 | # if gpu is to be used 92 | if opt.cuda: 93 | generator.cuda() 94 | discriminator.cuda() 95 | feature_extractor.cuda() 96 | content_criterion.cuda() 97 | adversarial_criterion.cuda() 98 | target_real = target_real.cuda() 99 | target_fake = target_fake.cuda() 100 | 101 | low_res = torch.FloatTensor(opt.batchSize, 3, opt.imageSize, opt.imageSize) 102 | 103 | print 'Test started...' 104 | mean_generator_content_loss = 0.0 105 | mean_generator_adversarial_loss = 0.0 106 | mean_generator_total_loss = 0.0 107 | mean_discriminator_loss = 0.0 108 | 109 | # Set evaluation mode (not training) 110 | generator.eval() 111 | discriminator.eval() 112 | 113 | for i, data in enumerate(dataloader): 114 | # Generate data 115 | high_res_real, _ = data 116 | 117 | # Downsample images to low resolution 118 | for j in range(opt.batchSize): 119 | low_res[j] = scale(high_res_real[j]) 120 | high_res_real[j] = normalize(high_res_real[j]) 121 | 122 | # Generate real and fake inputs 123 | if opt.cuda: 124 | high_res_real = Variable(high_res_real.cuda()) 125 | high_res_fake = generator(Variable(low_res).cuda()) 126 | else: 127 | high_res_real = Variable(high_res_real) 128 | high_res_fake = generator(Variable(low_res)) 129 | 130 | ######### Test discriminator ######### 131 | 132 | discriminator_loss = adversarial_criterion(discriminator(high_res_real), target_real) + \ 133 | adversarial_criterion(discriminator(Variable(high_res_fake.data)), target_fake) 134 | mean_discriminator_loss += discriminator_loss.data[0] 135 | 136 | ######### Test generator ######### 137 | 138 | real_features = Variable(feature_extractor(high_res_real).data) 139 | fake_features = feature_extractor(high_res_fake) 140 | 141 | generator_content_loss = content_criterion(high_res_fake, high_res_real) + 0.006*content_criterion(fake_features, real_features) 142 | mean_generator_content_loss += generator_content_loss.data[0] 143 | generator_adversarial_loss = adversarial_criterion(discriminator(high_res_fake), target_real) 144 | mean_generator_adversarial_loss += generator_adversarial_loss.data[0] 145 | 146 | generator_total_loss = generator_content_loss + 1e-3*generator_adversarial_loss 147 | mean_generator_total_loss += generator_total_loss.data[0] 148 | 149 | ######### Status and display ######### 150 | sys.stdout.write('\r[%d/%d] Discriminator_Loss: %.4f Generator_Loss (Content/Advers/Total): %.4f/%.4f/%.4f' % (i, len(dataloader), 151 | discriminator_loss.data[0], generator_content_loss.data[0], generator_adversarial_loss.data[0], generator_total_loss.data[0])) 152 | 153 | for j in range(opt.batchSize): 154 | save_image(unnormalize(high_res_real.data[j]), 'output/high_res_real/' + str(i*opt.batchSize + j) + '.png') 155 | save_image(unnormalize(high_res_fake.data[j]), 'output/high_res_fake/' + str(i*opt.batchSize + j) + '.png') 156 | save_image(unnormalize(low_res[j]), 'output/low_res/' + str(i*opt.batchSize + j) + '.png') 157 | 158 | sys.stdout.write('\r[%d/%d] Discriminator_Loss: %.4f Generator_Loss (Content/Advers/Total): %.4f/%.4f/%.4f\n' % (i, len(dataloader), 159 | mean_discriminator_loss/len(dataloader), mean_generator_content_loss/len(dataloader), 160 | mean_generator_adversarial_loss/len(dataloader), mean_generator_total_loss/len(dataloader))) -------------------------------------------------------------------------------- /train: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | 3 | import argparse 4 | import os 5 | import sys 6 | 7 | import torch 8 | import torch.optim as optim 9 | import torch.optim.lr_scheduler as lr_scheduler 10 | import torch.nn as nn 11 | from torch.autograd import Variable 12 | 13 | import torchvision 14 | import torchvision.datasets as datasets 15 | import torchvision.transforms as transforms 16 | 17 | from tensorboard_logger import configure, log_value 18 | 19 | from models import Generator, Discriminator, FeatureExtractor 20 | from utils import Visualizer 21 | 22 | parser = argparse.ArgumentParser() 23 | parser.add_argument('--dataset', type=str, default='cifar100', help='cifar10 | cifar100 | folder') 24 | parser.add_argument('--dataroot', type=str, default='./data', help='path to dataset') 25 | parser.add_argument('--workers', type=int, default=2, help='number of data loading workers') 26 | parser.add_argument('--batchSize', type=int, default=16, help='input batch size') 27 | parser.add_argument('--imageSize', type=int, default=15, help='the low resolution image size') 28 | parser.add_argument('--upSampling', type=int, default=2, help='low to high resolution scaling factor') 29 | parser.add_argument('--nEpochs', type=int, default=100, help='number of epochs to train for') 30 | parser.add_argument('--generatorLR', type=float, default=0.0001, help='learning rate for generator') 31 | parser.add_argument('--discriminatorLR', type=float, default=0.0001, help='learning rate for discriminator') 32 | parser.add_argument('--cuda', action='store_true', help='enables cuda') 33 | parser.add_argument('--nGPU', type=int, default=1, help='number of GPUs to use') 34 | parser.add_argument('--generatorWeights', type=str, default='', help="path to generator weights (to continue training)") 35 | parser.add_argument('--discriminatorWeights', type=str, default='', help="path to discriminator weights (to continue training)") 36 | parser.add_argument('--out', type=str, default='checkpoints', help='folder to output model checkpoints') 37 | 38 | opt = parser.parse_args() 39 | print(opt) 40 | 41 | try: 42 | os.makedirs(opt.out) 43 | except OSError: 44 | pass 45 | 46 | if torch.cuda.is_available() and not opt.cuda: 47 | print("WARNING: You have a CUDA device, so you should probably run with --cuda") 48 | 49 | transform = transforms.Compose([transforms.RandomCrop(opt.imageSize*opt.upSampling), 50 | transforms.ToTensor()]) 51 | 52 | normalize = transforms.Normalize(mean = [0.485, 0.456, 0.406], 53 | std = [0.229, 0.224, 0.225]) 54 | 55 | scale = transforms.Compose([transforms.ToPILImage(), 56 | transforms.Scale(opt.imageSize), 57 | transforms.ToTensor(), 58 | transforms.Normalize(mean = [0.485, 0.456, 0.406], 59 | std = [0.229, 0.224, 0.225]) 60 | ]) 61 | 62 | if opt.dataset == 'folder': 63 | # folder dataset 64 | dataset = datasets.ImageFolder(root=opt.dataroot, transform=transform) 65 | elif opt.dataset == 'cifar10': 66 | dataset = datasets.CIFAR10(root=opt.dataroot, train=True, download=True, transform=transform) 67 | elif opt.dataset == 'cifar100': 68 | dataset = datasets.CIFAR100(root=opt.dataroot, train=True, download=True, transform=transform) 69 | assert dataset 70 | 71 | dataloader = torch.utils.data.DataLoader(dataset, batch_size=opt.batchSize, 72 | shuffle=True, num_workers=int(opt.workers)) 73 | 74 | generator = Generator(16, opt.upSampling) 75 | if opt.generatorWeights != '': 76 | generator.load_state_dict(torch.load(opt.generatorWeights)) 77 | print generator 78 | 79 | discriminator = Discriminator() 80 | if opt.discriminatorWeights != '': 81 | discriminator.load_state_dict(torch.load(opt.discriminatorWeights)) 82 | print discriminator 83 | 84 | # For the content loss 85 | feature_extractor = FeatureExtractor(torchvision.models.vgg19(pretrained=True)) 86 | print feature_extractor 87 | content_criterion = nn.MSELoss() 88 | adversarial_criterion = nn.BCELoss() 89 | 90 | ones_const = Variable(torch.ones(opt.batchSize, 1)) 91 | 92 | # if gpu is to be used 93 | if opt.cuda: 94 | generator.cuda() 95 | discriminator.cuda() 96 | feature_extractor.cuda() 97 | content_criterion.cuda() 98 | adversarial_criterion.cuda() 99 | ones_const = ones_const.cuda() 100 | 101 | optim_generator = optim.Adam(generator.parameters(), lr=opt.generatorLR) 102 | optim_discriminator = optim.Adam(discriminator.parameters(), lr=opt.discriminatorLR) 103 | 104 | configure('logs/' + opt.dataset + '-' + str(opt.batchSize) + '-' + str(opt.generatorLR) + '-' + str(opt.discriminatorLR), flush_secs=5) 105 | visualizer = Visualizer(image_size=opt.imageSize*opt.upSampling) 106 | 107 | low_res = torch.FloatTensor(opt.batchSize, 3, opt.imageSize, opt.imageSize) 108 | 109 | # Pre-train generator using raw MSE loss 110 | print 'Generator pre-training' 111 | for epoch in range(2): 112 | mean_generator_content_loss = 0.0 113 | 114 | for i, data in enumerate(dataloader): 115 | # Generate data 116 | high_res_real, _ = data 117 | 118 | # Downsample images to low resolution 119 | for j in range(opt.batchSize): 120 | low_res[j] = scale(high_res_real[j]) 121 | high_res_real[j] = normalize(high_res_real[j]) 122 | 123 | # Generate real and fake inputs 124 | if opt.cuda: 125 | high_res_real = Variable(high_res_real.cuda()) 126 | high_res_fake = generator(Variable(low_res).cuda()) 127 | else: 128 | high_res_real = Variable(high_res_real) 129 | high_res_fake = generator(Variable(low_res)) 130 | 131 | ######### Train generator ######### 132 | generator.zero_grad() 133 | 134 | generator_content_loss = content_criterion(high_res_fake, high_res_real) 135 | mean_generator_content_loss += generator_content_loss.data[0] 136 | 137 | generator_content_loss.backward() 138 | optim_generator.step() 139 | 140 | ######### Status and display ######### 141 | sys.stdout.write('\r[%d/%d][%d/%d] Generator_MSE_Loss: %.4f' % (epoch, 2, i, len(dataloader), generator_content_loss.data[0])) 142 | visualizer.show(low_res, high_res_real.cpu().data, high_res_fake.cpu().data) 143 | 144 | sys.stdout.write('\r[%d/%d][%d/%d] Generator_MSE_Loss: %.4f\n' % (epoch, 2, i, len(dataloader), mean_generator_content_loss/len(dataloader))) 145 | log_value('generator_mse_loss', mean_generator_content_loss/len(dataloader), epoch) 146 | 147 | # Do checkpointing 148 | torch.save(generator.state_dict(), '%s/generator_pretrain.pth' % opt.out) 149 | 150 | # SRGAN training 151 | optim_generator = optim.Adam(generator.parameters(), lr=opt.generatorLR*0.1) 152 | optim_discriminator = optim.Adam(discriminator.parameters(), lr=opt.discriminatorLR*0.1) 153 | 154 | print 'SRGAN training' 155 | for epoch in range(opt.nEpochs): 156 | mean_generator_content_loss = 0.0 157 | mean_generator_adversarial_loss = 0.0 158 | mean_generator_total_loss = 0.0 159 | mean_discriminator_loss = 0.0 160 | 161 | for i, data in enumerate(dataloader): 162 | # Generate data 163 | high_res_real, _ = data 164 | 165 | # Downsample images to low resolution 166 | for j in range(opt.batchSize): 167 | low_res[j] = scale(high_res_real[j]) 168 | high_res_real[j] = normalize(high_res_real[j]) 169 | 170 | # Generate real and fake inputs 171 | if opt.cuda: 172 | high_res_real = Variable(high_res_real.cuda()) 173 | high_res_fake = generator(Variable(low_res).cuda()) 174 | target_real = Variable(torch.rand(opt.batchSize,1)*0.5 + 0.7).cuda() 175 | target_fake = Variable(torch.rand(opt.batchSize,1)*0.3).cuda() 176 | else: 177 | high_res_real = Variable(high_res_real) 178 | high_res_fake = generator(Variable(low_res)) 179 | target_real = Variable(torch.rand(opt.batchSize,1)*0.5 + 0.7) 180 | target_fake = Variable(torch.rand(opt.batchSize,1)*0.3) 181 | 182 | ######### Train discriminator ######### 183 | discriminator.zero_grad() 184 | 185 | discriminator_loss = adversarial_criterion(discriminator(high_res_real), target_real) + \ 186 | adversarial_criterion(discriminator(Variable(high_res_fake.data)), target_fake) 187 | mean_discriminator_loss += discriminator_loss.data[0] 188 | 189 | discriminator_loss.backward() 190 | optim_discriminator.step() 191 | 192 | ######### Train generator ######### 193 | generator.zero_grad() 194 | 195 | real_features = Variable(feature_extractor(high_res_real).data) 196 | fake_features = feature_extractor(high_res_fake) 197 | 198 | generator_content_loss = content_criterion(high_res_fake, high_res_real) + 0.006*content_criterion(fake_features, real_features) 199 | mean_generator_content_loss += generator_content_loss.data[0] 200 | generator_adversarial_loss = adversarial_criterion(discriminator(high_res_fake), ones_const) 201 | mean_generator_adversarial_loss += generator_adversarial_loss.data[0] 202 | 203 | generator_total_loss = generator_content_loss + 1e-3*generator_adversarial_loss 204 | mean_generator_total_loss += generator_total_loss.data[0] 205 | 206 | generator_total_loss.backward() 207 | optim_generator.step() 208 | 209 | ######### Status and display ######### 210 | sys.stdout.write('\r[%d/%d][%d/%d] Discriminator_Loss: %.4f Generator_Loss (Content/Advers/Total): %.4f/%.4f/%.4f' % (epoch, opt.nEpochs, i, len(dataloader), 211 | discriminator_loss.data[0], generator_content_loss.data[0], generator_adversarial_loss.data[0], generator_total_loss.data[0])) 212 | visualizer.show(low_res, high_res_real.cpu().data, high_res_fake.cpu().data) 213 | 214 | sys.stdout.write('\r[%d/%d][%d/%d] Discriminator_Loss: %.4f Generator_Loss (Content/Advers/Total): %.4f/%.4f/%.4f\n' % (epoch, opt.nEpochs, i, len(dataloader), 215 | mean_discriminator_loss/len(dataloader), mean_generator_content_loss/len(dataloader), 216 | mean_generator_adversarial_loss/len(dataloader), mean_generator_total_loss/len(dataloader))) 217 | 218 | log_value('generator_content_loss', mean_generator_content_loss/len(dataloader), epoch) 219 | log_value('generator_adversarial_loss', mean_generator_adversarial_loss/len(dataloader), epoch) 220 | log_value('generator_total_loss', mean_generator_total_loss/len(dataloader), epoch) 221 | log_value('discriminator_loss', mean_discriminator_loss/len(dataloader), epoch) 222 | 223 | # Do checkpointing 224 | torch.save(generator.state_dict(), '%s/generator_final.pth' % opt.out) 225 | torch.save(discriminator.state_dict(), '%s/discriminator_final.pth' % opt.out) 226 | 227 | # Avoid closing 228 | while True: 229 | pass 230 | -------------------------------------------------------------------------------- /utils.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | """Implements some utils 3 | 4 | TODO: 5 | """ 6 | 7 | import random 8 | 9 | from torchvision import transforms 10 | import matplotlib.pyplot as plt 11 | 12 | class Visualizer: 13 | def __init__(self, show_step=10, image_size=30): 14 | self.transform = transforms.Compose([transforms.Normalize(mean = [-2.118, -2.036, -1.804], # Equivalent to un-normalizing ImageNet (for correct visualization) 15 | std = [4.367, 4.464, 4.444]), 16 | transforms.ToPILImage(), 17 | transforms.Scale(image_size)]) 18 | 19 | self.show_step = show_step 20 | self.step = 0 21 | 22 | self.figure, (self.lr_plot, self.hr_plot, self.fake_plot) = plt.subplots(1,3) 23 | self.figure.show() 24 | 25 | self.lr_image_ph = None 26 | self.hr_image_ph = None 27 | self.fake_hr_image_ph = None 28 | 29 | def show(self, inputsG, inputsD_real, inputsD_fake): 30 | 31 | self.step += 1 32 | if self.step == self.show_step: 33 | self.step = 0 34 | 35 | i = random.randint(0, inputsG.size(0) -1) 36 | 37 | lr_image = self.transform(inputsG[i]) 38 | hr_image = self.transform(inputsD_real[i]) 39 | fake_hr_image = self.transform(inputsD_fake[i]) 40 | 41 | if self.lr_image_ph is None: 42 | self.lr_image_ph = self.lr_plot.imshow(lr_image) 43 | self.hr_image_ph = self.hr_plot.imshow(hr_image) 44 | self.fake_hr_image_ph = self.fake_plot.imshow(fake_hr_image) 45 | else: 46 | self.lr_image_ph.set_data(lr_image) 47 | self.hr_image_ph.set_data(hr_image) 48 | self.fake_hr_image_ph.set_data(fake_hr_image) 49 | 50 | self.figure.canvas.draw() 51 | --------------------------------------------------------------------------------