├── .gitattributes ├── .gitignore ├── LICENSE ├── README.md ├── data-demo ├── image_meta.csv └── synthetic_images │ ├── .DS_Store │ └── aged_images │ ├── 18_seed0002.png │ ├── 18_seed0003.png │ ├── 18_seed0004.png │ ├── 18_seed0005.png │ ├── 18_seed0006.png │ ├── 18_seed0007.png │ ├── 18_seed0008.png │ ├── 18_seed0009.png │ ├── 18_seed0010.png │ ├── 18_seed0011.png │ ├── 23_seed0002.png │ ├── 23_seed0003.png │ ├── 23_seed0004.png │ ├── 23_seed0005.png │ ├── 23_seed0006.png │ ├── 23_seed0007.png │ ├── 23_seed0008.png │ ├── 23_seed0009.png │ ├── 23_seed0010.png │ ├── 23_seed0011.png │ ├── 28_seed0002.png │ ├── 28_seed0003.png │ ├── 28_seed0004.png │ ├── 28_seed0005.png │ ├── 28_seed0006.png │ ├── 28_seed0007.png │ ├── 28_seed0008.png │ ├── 28_seed0009.png │ ├── 28_seed0010.png │ ├── 28_seed0011.png │ ├── 33_seed0002.png │ ├── 33_seed0003.png │ ├── 33_seed0004.png │ ├── 33_seed0005.png │ ├── 33_seed0006.png │ ├── 33_seed0007.png │ ├── 33_seed0008.png │ ├── 33_seed0009.png │ ├── 33_seed0010.png │ ├── 33_seed0011.png │ ├── 38_seed0002.png │ ├── 38_seed0003.png │ ├── 38_seed0004.png │ ├── 38_seed0005.png │ ├── 38_seed0006.png │ ├── 38_seed0007.png │ ├── 38_seed0008.png │ ├── 38_seed0009.png │ ├── 38_seed0010.png │ ├── 38_seed0011.png │ ├── 43_seed0002.png │ ├── 43_seed0003.png │ ├── 43_seed0004.png │ ├── 43_seed0005.png │ ├── 43_seed0006.png │ ├── 43_seed0007.png │ ├── 43_seed0008.png │ ├── 43_seed0009.png │ ├── 43_seed0010.png │ ├── 43_seed0011.png │ ├── 48_seed0002.png │ ├── 48_seed0003.png │ ├── 48_seed0004.png │ ├── 48_seed0005.png │ ├── 48_seed0006.png │ ├── 48_seed0007.png │ ├── 48_seed0008.png │ ├── 48_seed0009.png │ ├── 48_seed0010.png │ ├── 48_seed0011.png │ ├── 53_seed0002.png │ ├── 53_seed0003.png │ ├── 53_seed0004.png │ ├── 53_seed0005.png │ ├── 53_seed0006.png │ ├── 53_seed0007.png │ ├── 53_seed0008.png │ ├── 53_seed0009.png │ ├── 53_seed0010.png │ ├── 53_seed0011.png │ ├── 58_seed0002.png │ ├── 58_seed0003.png │ ├── 58_seed0004.png │ ├── 58_seed0005.png │ ├── 58_seed0006.png │ ├── 58_seed0007.png │ ├── 58_seed0008.png │ ├── 58_seed0009.png │ ├── 58_seed0010.png │ ├── 58_seed0011.png │ ├── 63_seed0002.png │ ├── 63_seed0003.png │ ├── 63_seed0004.png │ ├── 63_seed0005.png │ ├── 63_seed0006.png │ ├── 63_seed0007.png │ ├── 63_seed0008.png │ ├── 63_seed0009.png │ ├── 63_seed0010.png │ ├── 63_seed0011.png │ ├── 68_seed0002.png │ ├── 68_seed0003.png │ ├── 68_seed0004.png │ ├── 68_seed0005.png │ ├── 68_seed0006.png │ ├── 68_seed0007.png │ ├── 68_seed0008.png │ ├── 68_seed0009.png │ ├── 68_seed0010.png │ ├── 68_seed0011.png │ ├── 73_seed0002.png │ ├── 73_seed0003.png │ ├── 73_seed0004.png │ ├── 73_seed0005.png │ ├── 73_seed0006.png │ ├── 73_seed0007.png │ ├── 73_seed0008.png │ ├── 73_seed0009.png │ ├── 73_seed0010.png │ ├── 73_seed0011.png │ ├── 78_seed0002.png │ ├── 78_seed0003.png │ ├── 78_seed0004.png │ ├── 78_seed0005.png │ ├── 78_seed0006.png │ ├── 78_seed0007.png │ ├── 78_seed0008.png │ ├── 78_seed0009.png │ ├── 78_seed0010.png │ ├── 78_seed0011.png │ ├── 83_seed0002.png │ ├── 83_seed0003.png │ ├── 83_seed0004.png │ ├── 83_seed0005.png │ ├── 83_seed0006.png │ ├── 83_seed0007.png │ ├── 83_seed0008.png │ ├── 83_seed0009.png │ ├── 83_seed0010.png │ └── 83_seed0011.png ├── datasets ├── __init__.py ├── augmentations.py └── fran_dataset.py ├── example-images ├── input_example_img.png └── output_example_img.png ├── fran_colab_notebook.ipynb ├── models ├── __init__.py ├── descriminator.py └── generator.py ├── requirements.txt ├── train.py └── training ├── __init__.py └── trainer.py /.gitattributes: -------------------------------------------------------------------------------- 1 | *.py linguist-detectable=true 2 | *.ipynb linguist-detectable=false -------------------------------------------------------------------------------- /.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 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | share/python-wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | MANIFEST 28 | 29 | # PyInstaller 30 | # Usually these files are written by a python script from a template 31 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 32 | *.manifest 33 | *.spec 34 | 35 | # Installer logs 36 | pip-log.txt 37 | pip-delete-this-directory.txt 38 | 39 | # Unit test / coverage reports 40 | htmlcov/ 41 | .tox/ 42 | .nox/ 43 | .coverage 44 | .coverage.* 45 | .cache 46 | nosetests.xml 47 | coverage.xml 48 | *.cover 49 | *.py,cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | cover/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | .pybuilder/ 76 | target/ 77 | 78 | # Jupyter Notebook 79 | .ipynb_checkpoints 80 | 81 | # IPython 82 | profile_default/ 83 | ipython_config.py 84 | 85 | # pyenv 86 | # For a library or package, you might want to ignore these files since the code is 87 | # intended to run in multiple environments; otherwise, check them in: 88 | # .python-version 89 | 90 | # pipenv 91 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 92 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 93 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 94 | # install all needed dependencies. 95 | #Pipfile.lock 96 | 97 | # poetry 98 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. 99 | # This is especially recommended for binary packages to ensure reproducibility, and is more 100 | # commonly ignored for libraries. 101 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control 102 | #poetry.lock 103 | 104 | # pdm 105 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. 106 | #pdm.lock 107 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it 108 | # in version control. 109 | # https://pdm.fming.dev/#use-with-ide 110 | .pdm.toml 111 | 112 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm 113 | __pypackages__/ 114 | 115 | # Celery stuff 116 | celerybeat-schedule 117 | celerybeat.pid 118 | 119 | # SageMath parsed files 120 | *.sage.py 121 | 122 | # Environments 123 | .env 124 | .venv 125 | env/ 126 | venv/ 127 | ENV/ 128 | env.bak/ 129 | venv.bak/ 130 | 131 | # Spyder project settings 132 | .spyderproject 133 | .spyproject 134 | 135 | # Rope project settings 136 | .ropeproject 137 | 138 | # mkdocs documentation 139 | /site 140 | 141 | # mypy 142 | .mypy_cache/ 143 | .dmypy.json 144 | dmypy.json 145 | 146 | # Pyre type checker 147 | .pyre/ 148 | 149 | # pytype static type analyzer 150 | .pytype/ 151 | 152 | # Cython debug symbols 153 | cython_debug/ 154 | 155 | # PyCharm 156 | # JetBrains specific template is maintained in a separate JetBrains.gitignore that can 157 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore 158 | # and can be added to the global gitignore or merged into this file. For a more nuclear 159 | # option (not recommended) you can uncomment the following to ignore the entire idea folder. 160 | #.idea/ 161 | .DS_Store 162 | 163 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2024 Ryan Lu 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # PyTorch Face Re-aging Network (FRAN) 2 | 3 | 4 | 5 | 6 | 7 | 8 |
Image Alt TextImage Alt Text
9 | 10 | 11 | An unofficial PyTorch implementation of Disney's face re-aging network (FRAN) paper. 12 | 13 | Paper Link: [link](https://studios.disneyresearch.com/2022/11/30/production-ready-face-re-aging-for-visual-effects/) 14 | 15 | Dataset Link (collected according to the paper): [link](https://www.kaggle.com/datasets/penpentled/aged-synthetic-images) 16 | 17 | ## Setup 18 | Python 3.12.2 19 | 20 | ```console 21 | > pip install -r requirements.txt 22 | ``` 23 | 24 | For full training, download all 2000 subjects from the dataset link. 25 | 26 | ## Training 27 | See Colab Notebook or train a new model by 28 | ```console 29 | > python train.py -h 30 | usage: train.py [-h] [--data_dir DATA_DIR] 31 | 32 | Train FRAN model. 33 | 34 | options: 35 | -h, --help show this help message and exit 36 | --data_dir DATA_DIR, -C DATA_DIR 37 | directory for data 38 | 39 | > python train.py 40 | 41 | Using 16bit Automatic Mixed Precision (AMP) 42 | GPU available: True (mps), used: True 43 | TPU available: False, using: 0 TPU cores 44 | IPU available: False, using: 0 IPUs 45 | HPU available: False, using: 0 HPUs 46 | 47 | | Name | Type | Params 48 | -------------------------------------------------------- 49 | 0 | generator | Generator | 31.4 M 50 | 1 | discriminator | PatchGANDiscriminator | 1.6 M 51 | -------------------------------------------------------- 52 | 32.9 M Trainable params 53 | 0 Non-trainable params 54 | 32.9 M Total params 55 | 131.800 Total estimated model params size (MB) 56 | Epoch 0: 0%| | 0/228 [00:00