├── README.md
└── images
    ├── 0shotir.png
    ├── 0shotsketch.png
    ├── 3dlinedrawing.png
    ├── 3drecons3dv.png
    ├── 3dsketch.png
    ├── autocolo.png
    ├── benchmark4sketch.png
    ├── bendsketch.png
    ├── beziersketch.png
    ├── colorMM18.png
    ├── comicolor.png
    ├── contour3dmodel.png
    ├── cupcake.gif
    ├── deepextract.png
    ├── deepnormal.png
    ├── doodlergan.png
    ├── facex.png
    ├── finegrainedsketchretrieval.png
    ├── freehand.png
    ├── iconcolor.png
    ├── im2pencil.png
    ├── languagecolo.png
    ├── linevector.png
    ├── manga109.png
    ├── mastersketch.png
    ├── neuralcontour.png
    ├── nicoopen.png
    ├── opensketch.png
    ├── outline.png
    ├── paintchainer.png
    ├── quickdraw.png
    ├── refercolo.png
    ├── shadesketch.gif
    ├── shadesketch.png
    ├── sketch2face.png
    ├── sketch2img.png
    ├── sketch2normal.png
    ├── sketch_agent.png
    ├── sketchabs.png
    ├── sketchbert.png
    ├── sketchclassifier.png
    ├── sketchmate.png
    ├── sketchr2cnn.png
    ├── sketchrnn.png
    ├── sketchsimp.png
    ├── sketchycoco.png
    ├── sketchydatabase.png
    ├── sketchygan.png
    ├── sketchyscene.png
    ├── smartinker.png
    ├── spg.png
    ├── synladataset.png
    ├── tag2pix.png
    ├── twostagecolo.png
    └── videocolo.png


/README.md:
--------------------------------------------------------------------------------
  1 | # Sketch-Based Deep Learning Papers
  2 | 
  3 | A resource repository for sketch based deep learning papers and work.
  4 | 
  5 | 
  6 | ## Table of Contents
  7 | 
  8 | - [Dataset](https://github.com/qyzdao/Sketch-Based-Deep-Learning#dataset)
  9 | - [Colorization](https://github.com/qyzdao/Sketch-based-DL/blob/master/README.md#colorization)
 10 | - [Stylization](https://github.com/qyzdao/Sketch-based-DL/blob/master/README.md#stylization)
 11 | - [3D Representation](https://github.com/qyzdao/Sketch-Based-Deep-Learning#sketch-to-3d-representation)
 12 | - [Realistic](https://github.com/qyzdao/Sketch-based-DL/blob/master/README.md#realistic)
 13 | - [Others](https://github.com/qyzdao/Sketch-based-DL/blob/master/README.md#others)
 14 | 
 15 | 
 16 | ## Dataset
 17 | 
 18 | **Blending Texture Features from Multiple Reference Images for Style Transfer (SIGGRAPH Asia Tech Briefs 2016)** [[Paper]](https://nico-opendata.jp/publish/neural-style-synthesizer/neural-style-synthesizer.pdf) 
 19 | **Nico Open data** [[Link]](https://nico-opendata.jp/en/index.html)
 20 | 
 21 | <p align="center">
 22 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/nicoopen.png" height="250">
 23 | </p>
 24 | 
 25 | 
 26 | 
 27 | **The Sketchy Database: Learning to Retrieve Badly Drawn Bunnies (TOG, SIGGRAPH 2016)** [[Link]](http://sketchy.eye.gatech.edu/)
 28 | 
 29 | <p align="center">
 30 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/sketchydatabase.png" height="200">
 31 | </p>
 32 | 
 33 | 
 34 | **Quick, Draw! Dataset (2017)** [[Link]](https://github.com/googlecreativelab/quickdraw-dataset)
 35 | 
 36 | <p align="center">
 37 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/quickdraw.png" height="200">
 38 | </p>
 39 | 
 40 | 
 41 | 
 42 | **SketchyScene: Richly-Annotated Scene Sketches (ECCV 2018)** [[Link]](https://sketchyscene.github.io/SketchyScene/)
 43 | 
 44 | <p align="center">
 45 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/sketchyscene.png" height="200">
 46 | </p>
 47 | 
 48 | 
 49 | **Universal Sketch Perceptual Grouping (ECCV 2018)** [[Paper]](https://homepages.inf.ed.ac.uk/thospeda/papers/li2018universalGrouping.pdf)
 50 | 
 51 | <p align="center">
 52 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/spg.png" height="150">
 53 | </p>
 54 | 
 55 | 
 56 | 
 57 | **OpenSketch: A Richly-Annotated Dataset of Product Design Sketches (TOG, SIGGRAPH Asia 2019)** [[Link]](http://www-sop.inria.fr/reves/Basilic/2019/GSHPDB19/)
 58 | 
 59 | <p align="center">
 60 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/opensketch.png" height="250">
 61 | </p>
 62 | 
 63 | 
 64 | **EmoG: Supporting the Sketching of Emotional Expressions for Storyboarding (CHI on Human Factors in Computing Systems, 2020)** [[Link]](https://facex.idvxlab.com/)
 65 | 
 66 | <p align="center">
 67 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/facex.png" height="250">
 68 | </p>
 69 | 
 70 | 
 71 | **Building a Manga Dataset "Manga109" with Annotations for Multimedia Applications (IEEE MultiMedia, 2020)** [[Paper]](https://arxiv.org/abs/2005.04425) [[Link]](http://www.manga109.org/ja/index.html)
 72 | 
 73 | <p align="center">
 74 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/manga109.png" height="250">
 75 | </p>
 76 | 
 77 | 
 78 | **SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings (CVPR, 2020)** [[Paper]](https://arxiv.org/abs/2003.14034)
 79 | 
 80 | <p align="center">
 81 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/3dlinedrawing.png" height="250">
 82 | </p>
 83 | 
 84 | 
 85 | 
 86 | ## Colorization
 87 | 
 88 | **Paintschainer (2017)** [[Link]](https://paintschainer.preferred.tech/)
 89 | 
 90 | <p align="center">
 91 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/paintchainer.png" height="250">
 92 | </p>
 93 | 
 94 | 
 95 | 
 96 | **Outline colorization through tandem adversarial networks (2017)** [[Paper]](https://arxiv.org/abs/1704.08834)
 97 | 
 98 | <p align="center">
 99 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/outline.png" height="150">
100 | </p>
101 | 
102 | 
103 | 
104 | **Comicolorization: semi-automatic manga colorization (SIGGRAPH Aisa 2017 Tech Briefs)** [[Paper]](https://arxiv.org/abs/1706.06759)
105 | 
106 | <p align="center">
107 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/comicolor.png" height="250">
108 | </p>
109 | 
110 | 
111 | 
112 | **Two-stage sketch colorization (TOG, SIGGRAPH Asia 2018)** [[Paper]](http://www.cse.cuhk.edu.hk/~ttwong/papers/colorize/colorize.pdf)
113 | 
114 | <p align="center">
115 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/twostagecolo.png" height="200">
116 | </p>
117 | 
118 | 
119 | **User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks (ACM Multimedia, 2018)** [[Paper]](https://arxiv.org/abs/1808.03240)
120 | 
121 | <p align="center">
122 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/colorMM18.png" height="300">
123 | </p>
124 | 
125 | 
126 | 
127 | **Tag2pix: Line art colorization using text tag with secat and changing loss (ICCV 2019)** [[Paper]](http://openaccess.thecvf.com/content_ICCV_2019/papers/Kim_Tag2Pix_Line_Art_Colorization_Using_Text_Tag_With_SECat_and_ICCV_2019_paper.pdf)
128 | 
129 | <p align="center">
130 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/tag2pix.png" height="200">
131 | </p>
132 | 
133 | 
134 | **Automatic Colorization of Anime Sketch Image** [[Link]](https://github.com/ktaebum/AttentionedDeepPaint)
135 | <p align="center">
136 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/autocolo.png" height="250">
137 | </p>
138 | 
139 | 
140 | **Language-based Colorization of Scene Sketches (TOG, SIGGRAPH Asia 2019)** [[Link]](https://sketchyscene.github.io/SketchySceneColorization/)
141 | 
142 | <p align="center">
143 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/languagecolo.png" height="250">
144 | </p>
145 | 
146 | 
147 | **Deep Line Art Video Colorization with a Few References (2020)** [[Paper]](https://arxiv.org/abs/2003.10685)
148 | 
149 | <p align="center">
150 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/videocolo.png" height="250">
151 | </p>
152 | 
153 | 
154 | **Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence (CVPR, 2020)** [[Paper]](https://arxiv.org/abs/2005.05207)
155 | 
156 | <p align="center">
157 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/refercolo.png" height="250">
158 | </p>
159 | 
160 | 
161 | 
162 | ## Stylization
163 | 
164 | **Learning to Simplify: Fully Convolutional Networks for Rough Sketch Cleanup (TOG, SIGGRAPH 2016)** [[Link]](https://esslab.jp/~ess/en/research/sketch/)
165 | 
166 | <p align="center">
167 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/sketchsimp.png" height="200">
168 | </p>
169 | 
170 | 
171 | 
172 | **Deep extraction of manga structural lines (TOG, SIGGRAPH 2017)** [[Link]](https://www.cse.cuhk.edu.hk/~ttwong/papers/linelearn/linelearn.html)
173 | 
174 | <p align="center">
175 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/deepextract.png" height="250">
176 | </p>
177 | 
178 | 
179 | **A Neural Representation of Sketch Drawings (ICLR 2018)** [[Paper]](https://arxiv.org/abs/1704.03477)
180 | 
181 | <p align="center">
182 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/sketchrnn.png" height="250">
183 | </p>
184 | 
185 | 
186 | 
187 | 
188 | **Mastering sketching: adversarial augmentation for struc- tured prediction (TOG, SIGGRAPH 2018)** [[Link]](https://esslab.jp/~ess/en/research/sketch_master/)
189 | 
190 | <p align="center">
191 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/mastersketch.png" height="200">
192 | </p>
193 | 
194 | 
195 | 
196 | **Real-Time Data-Driven Interactive Rough Sketch Inking (TOG, SIGGRAPH 2018)** [[Link]](https://esslab.jp/~ess/en/research/inking/)
197 | 
198 | <p align="center">
199 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/smartinker.png" height="250">
200 | </p>
201 | 
202 | 
203 | 
204 | **Im2pencil: Controllable pencil illustra- tion from photographs (CVPR 2019)** [[Paper]](https://arxiv.org/abs/1903.08682)
205 | 
206 | <p align="center">
207 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/im2pencil.png" height="250">
208 | </p>
209 | 
210 | 
211 | **Adversarial Colorization Of Icons Based On Structure And Color Conditions (2019)** [[Paper]](https://arxiv.org/abs/1910.05253)
212 | 
213 | <p align="center">
214 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/iconcolor.png" height="250">
215 | </p>
216 | 
217 | 
218 | 
219 | **Learning to Shadow Hand-drawn Sketches (CVPR 2020)** [[Link]](https://github.com/qyzdao/ShadeSketch)
220 | 
221 | <p align="center">
222 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/shadesketch.png" height="250">
223 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/shadesketch.gif" height="250">
224 | </p>
225 | 
226 | 
227 | 
228 | **Neural Contours: Learning to Draw Lines from 3D Shapes (CVPR 2020)** [[Paper]](https://arxiv.org/abs/2003.10333)
229 | 
230 | <p align="center">
231 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/neuralcontour.png" height="250">
232 | </p>
233 | 
234 | 
235 | **Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestalt (CVPR, 2020)** [[Paper]](https://arxiv.org/abs/2005.09159)
236 | 
237 | <p align="center">
238 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/sketchbert.png" height="250">
239 | </p>
240 | 
241 | **A Benchmark for Rough Sketch Cleanup (SIGGRAPH Asia 2020)** [[Link]](https://cragl.cs.gmu.edu/sketchbench/)
242 | 
243 | <p align="center">
244 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/benchmark4sketch.png" height="250">
245 | </p>
246 | 
247 | **Creative Sketch Generation (ICLR 2021)** [[Link]](https://songweige.github.io/projects/creative_sketech_generation/home.html)
248 | 
249 | <p align="center">
250 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/doodlergan.png" height="150">
251 | </p>
252 | 
253 | **General Virtual Sketching Framework for Vector Line Art (SIGGRAPH 2021)** [[Link]](https://markmohr.github.io/virtual_sketching/)
254 | 
255 | <p align="center">
256 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/linevector.png" height="200">
257 | </p>
258 | 
259 | 
260 | ## Sketch to 3D Representation
261 | 
262 | Sketch to Normal Maps. Sketch to 3D Model.
263 | 
264 | ### Normal Maps
265 | 
266 | **Deep Normal Estimation for Automatic Shading of Hand-Drawn Characters (ECCV Workshop 2018)** [[Link]](https://v-sense.scss.tcd.ie/research/vfx-animation/deep-normal-estimation-for-automatic-shading-of-hand-drawn-characters/)
267 | 
268 | <p align="center">
269 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/deepnormal.png" height="150">
270 | </p>
271 | 
272 | 
273 | 
274 | **Interactive Sketch-Based Normal Map Generation with Deep Neural Networks (I3D 2018)** [[Paper]](http://sweb.cityu.edu.hk/hongbofu/doc/sketch2normal_i3D2018.pdf)
275 | 
276 | <p align="center">
277 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/sketch2normal.png" height="150">
278 | </p>
279 | 
280 | 
281 | ### Novel View
282 | **Lifting Freehand Concept Sketches into 3D (SIGGRAPH Asia, 2020)** [[Link]](https://ns.inria.fr/d3/Lift3D/)
283 | 
284 | <p align="center">
285 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/freehand.png" height="250">
286 | </p>
287 | 
288 | 
289 | ### 3D Model
290 | 
291 | **BendSketch: Modeling Freeform Surfaces Through 2D Sketching (TOG, SIGGRAPH 2017)** [[Paper]](http://haopan.github.io/bendsketch.html)
292 | 
293 | <p align="center">
294 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/bendsketch.png" height="250">
295 | </p>
296 | 
297 | 
298 | 
299 | **DeepSketch2Face: A Deep Learning Based Sketching System for 3D Face and Caricature Modeling (TOG, SIGGRAPH 2017)** [[Paper]](https://arxiv.org/abs/1706.02042)
300 | 
301 | <p align="center">
302 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/sketch2face.png" height="100">
303 | </p>
304 | 
305 | 
306 | 
307 | **3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks (3DV 2017)** [[Paper]](https://people.cs.umass.edu/~zlun/papers/SketchModeling/)
308 | 
309 | <p align="center">
310 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/3drecons3dv.png" height="200">
311 | </p>
312 | 
313 | 
314 | 
315 | **3D Sketching using Multi-View Deep Volumetric Prediction (I3D 2018)** [[Paper]](https://ns.inria.fr/d3/3DSketching/)
316 | 
317 | <p align="center">
318 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/3dsketch.png" height="200">
319 | </p>
320 | 
321 | 
322 | **Contour-based 3D Modeling through Joint Embedding of Shapes and Contours (I3D 2020)** [[Paper]](https://dl.acm.org/doi/fullHtml/10.1145/3384382.3384518)
323 | 
324 | <p align="center">
325 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/contour3dmodel.png" height="250">
326 | </p>
327 | 
328 | 
329 | 
330 | ## Realistic
331 | 
332 | **SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis (CVPR 2018)** [[Paper]](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_SketchyGAN_Towards_Diverse_CVPR_2018_paper.pdf)
333 | 
334 | <p align="center">
335 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/sketchygan.png" height="150">
336 | </p>
337 | 
338 | 
339 | **Sketch-R2CNN: An Attentive Network for Vector Sketch Recognition (2018)** [[Paper]](https://arxiv.org/abs/1811.08170)
340 | 
341 | <p align="center">
342 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/sketchr2cnn.png" height="100">
343 | </p>
344 | 
345 | 
346 | **Learning to Sketch with Shortcut Cycle Consistency (CVPR 2018)** [[Paper]](https://arxiv.org/abs/1805.00247)
347 | 
348 | <p align="center">
349 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/sketch2img.png" height="150">
350 | </p>
351 | 
352 | 
353 | **Sketch-a-Classifier: Sketch-based Photo Classifier Generation (CVPR 2018)** [[Paper]](https://arxiv.org/abs/1804.11182)
354 | 
355 | <p align="center">
356 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/sketchclassifier.png" height="150">
357 | </p>
358 | 
359 | 
360 | **Learning Deep Sketch Abstraction (CVPR 2018)** [[Paper]](http://openaccess.thecvf.com/content_cvpr_2018/papers/Muhammad_Learning_Deep_Sketch_CVPR_2018_paper.pdf)
361 | 
362 | <p align="center">
363 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/sketchabs.png" height="200">
364 | </p>
365 | 
366 | 
367 | **SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval (CVPR 2018)** [[Paper]](https://arxiv.org/abs/1804.01401)
368 | 
369 | <p align="center">
370 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/sketchmate.png" height="150">
371 | </p>
372 | 
373 | 
374 | 
375 | **Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation (ICCV 2019)** [[Link]](https://arnabgho.github.io/iSketchNFill/)
376 | 
377 | <p align="center">
378 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/cupcake.gif" height="200">
379 | </p>
380 | 
381 | 
382 | **Deep Zero-Shot Learning for Scene Sketch (ICIP 2019)** [[Paper]](https://arxiv.org/abs/1905.04510)
383 | 
384 | <p align="center">
385 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/0shotsketch.png" height="150">
386 | </p>
387 | 
388 | 
389 | **Doodle to Search: Practical Zero-Shot Sketch-based Image Retrieval (CVPR 2019)** [[Paper]](https://arxiv.org/abs/1904.03451)
390 | 
391 | <p align="center">
392 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/0shotir.png" height="200">
393 | </p>
394 | 
395 | 
396 | **Generalising Fine-Grained Sketch-Based Image Retrieval (CVPR 2019)** [[Paper]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Pang_Generalising_Fine-Grained_Sketch-Based_Image_Retrieval_CVPR_2019_paper.pdf)
397 | 
398 | <p align="center">
399 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/finegrainedsketchretrieval.png" height="250">
400 | </p>
401 | 
402 | 
403 | **SketchyCOCO: Image Generation from Freehand Scene Sketches (CVPR, 2020)** [[Paper]](https://arxiv.org/pdf/2003.02683.pdf)
404 | 
405 | <p align="center">
406 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/sketchycoco.png" height="150">
407 | </p>
408 | 
409 | **BézierSketch: A generative model for scalable vector sketches (ECCV, 2020)** [[Paper]](https://arxiv.org/abs/2007.02190)
410 | 
411 | <p align="center">
412 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/beziersketch.png" height="200">
413 | </p>
414 | 
415 | **Pixelor: A Competitive Sketching AI Agent. So you think you can beat me? (SIGGRAPH Asia, 2020)** [[Link]](https://github.com/dasayan05/neuralsort-siggraph)
416 | 
417 | <p align="center">
418 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/sketch_agent.png" height="200">
419 | </p>
420 | 
421 | 
422 | 
423 | ## Others 
424 | 
425 | ### Researchers & Labs
426 | (Random order)
427 | 
428 | **Dr. Aaron Hertzmann's Blog** [[Link]](https://aaronhertzmann.com/)
429 | 
430 | - Why Edge Detection Doesn’t Explain Line Drawing [[Link]](https://aaronhertzmann.com/2020/04/19/lines-as-edges.html)
431 | 
432 | - Apparent Ridges, Edges, and Perception of Line Drawing [[Link]](https://aaronhertzmann.com/2020/04/21/ar-vs-cs.html)
433 | 
434 | - Why Does Line Drawing Work? A Realism Hypothesis [[Link]](https://aaronhertzmann.com/2021/05/13/why-does-line-drawing-work.html)
435 | 
436 | **SketchX Lab** [[Link]](http://sketchx.eecs.qmul.ac.uk/)
437 | 
438 | **Dr. Changqing Zou** [[Link]](https://changqingzou.weebly.com/)
439 | 
440 | **Dr. Yulia Gryaditskaya** [[Link]](https://yulia.gryaditskaya.com/)
441 | 
442 | ### Misc
443 | 
444 | **A Survey on Sketch Based Content Creation: from the Desktop to Virtual and Augmented Reality (Eurographics, 2020)** [[Paper]](https://diglib.eg.org/bitstream/handle/10.1111/cgf14024/v39i2pp757-780.pdf?sequence=1&isAllowed=y)
445 | 
446 | **Why Do Line Drawings Work? A Realism Hypothesis (Perception 2020)** [[Paper]](https://arxiv.org/abs/2002.06260)
447 | 
448 | **SYNLA Dataset (Synthetic Line Art Dataset)** [[Link]](https://github.com/bloc97/SYNLA-Dataset)
449 | 
450 | <p align="center">
451 | <img src="https://github.com/qyzdao/Sketch-based-DL/blob/master/images/synladataset.png" height="200">
452 | </p>
453 | 
454 | 
455 | ## Disclaimer
456 | 
457 | This is a personal collection. No warranty. Working in progress, pull request welcome. :heart:
458 | 


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/images/0shotir.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/0shotir.png


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/images/0shotsketch.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/0shotsketch.png


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/images/3dlinedrawing.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/3dlinedrawing.png


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/images/3drecons3dv.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/3drecons3dv.png


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/images/3dsketch.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/3dsketch.png


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/images/autocolo.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/autocolo.png


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/images/benchmark4sketch.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/benchmark4sketch.png


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/images/bendsketch.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/bendsketch.png


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/images/beziersketch.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/beziersketch.png


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/images/colorMM18.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/colorMM18.png


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/images/comicolor.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/comicolor.png


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/images/contour3dmodel.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/contour3dmodel.png


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/images/cupcake.gif:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/cupcake.gif


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/images/deepextract.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/deepextract.png


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/images/deepnormal.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/deepnormal.png


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/images/doodlergan.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/doodlergan.png


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/images/facex.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/facex.png


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/images/finegrainedsketchretrieval.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/finegrainedsketchretrieval.png


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/images/freehand.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/freehand.png


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/images/iconcolor.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/iconcolor.png


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/images/im2pencil.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/im2pencil.png


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/images/languagecolo.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/languagecolo.png


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/images/linevector.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/linevector.png


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/images/manga109.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/manga109.png


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/images/mastersketch.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/mastersketch.png


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/images/neuralcontour.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/neuralcontour.png


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/images/nicoopen.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/nicoopen.png


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/images/opensketch.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/opensketch.png


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/images/outline.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/outline.png


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/images/paintchainer.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/paintchainer.png


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/images/quickdraw.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/quickdraw.png


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/images/refercolo.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/refercolo.png


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/images/shadesketch.gif:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/shadesketch.gif


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/images/shadesketch.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/shadesketch.png


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/images/sketch2face.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/sketch2face.png


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/images/sketch2img.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/sketch2img.png


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/images/sketch2normal.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/sketch2normal.png


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/images/sketch_agent.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/sketch_agent.png


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/images/sketchabs.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/sketchabs.png


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/images/sketchbert.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/sketchbert.png


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/images/sketchclassifier.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/sketchclassifier.png


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/images/sketchmate.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/sketchmate.png


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/images/sketchr2cnn.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/sketchr2cnn.png


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/images/sketchrnn.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/sketchrnn.png


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/images/sketchsimp.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/sketchsimp.png


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/images/sketchycoco.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/sketchycoco.png


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/images/sketchydatabase.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/sketchydatabase.png


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/images/sketchygan.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/sketchygan.png


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/images/sketchyscene.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/sketchyscene.png


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/images/smartinker.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/smartinker.png


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/images/spg.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/spg.png


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/images/synladataset.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/synladataset.png


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/images/tag2pix.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/tag2pix.png


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/images/twostagecolo.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/twostagecolo.png


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/images/videocolo.png:
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https://raw.githubusercontent.com/qyzdao/Sketch-Based-Deep-Learning/072d65e53843c75f59d71c6007355cb745423ba6/images/videocolo.png


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