- See Also
-
Links
- “StencilTorch: An Iterative and User-Guided Framework for Anime Lineart Colorization”, Et Al 2023
- “Reference Based Sketch Extraction via Attention Mechanism”, Et Al 2022
- “AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies”, Et Al 2022
- “We-toon: A Communication Support System between Writers and Artists in Collaborative Webtoon Sketch Revision”, Et Al 2022
- “VToonify: Controllable High-Resolution Portrait Video Style Transfer”, Et Al 2022
- “Deep Learning for Image Colorization: Current and Future Prospects”, Et Al 2022
- “Using Generative Adversarial Networks for Conditional Creation of Anime Posters”, Et Al 2022
- “AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos”, Et Al 2022
- “Towards Layer-wise Image Vectorization”, Et Al 2022
- “Learning to Generate Artistic Character Line Drawing”, Et Al 2022
- “MontageGAN: Generation and Assembly of Multiple Components by GANs”, 2022
- “Cross-Domain Style Mixing for Face Cartoonization”, Et Al 2022
- “A Challenging Benchmark of Anime Style Recognition”, Et Al 2022
- “Fast Text Placement Scheme for ASCII Art Synthesis”, 2022
- “KNN-Diffusion: Image Generation via Large-Scale Retrieval”, Et Al 2022
- “Make-A-Scene: Scene-Based Text-to-Image Generation With Human Priors”, Et Al 2022
- “Learning to Generate Line Drawings That Convey Geometry and Semantics”, Et Al 2022
- “CAST: Character Labeling in Animation Using Self-supervision by Tracking”, Et Al 2022
- “Intelli-Paint: Towards Developing Human-like Painting Agents”, Et Al 2021
- “AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment”, Et Al 2021
- “Learning a Perceptual Manifold With Deep Features for Animation Video Resequencing”, Et Al 2021
- “Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset—Addressing the Noise-Latent Trade-Off”, 2021
- “LARGE: Latent-Based Regression through GAN Semantics”, Et Al 2021
- “GANs N’ Roses: Stable, Controllable, Diverse Image to Image Translation (works for Videos Too!)”, 2021
- “Machine Learning Scaling”, 2021
- “Towards Fully Automated Manga Translation”, Et Al 2020
- “End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks”, 2020
- “The 2020s Political Economy of Machine Translation”, 2020
- “Toonify: Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains”, 2020
- “StyleGAN Network Blending”, 2020
- “This Pony Does Not Exist”, 2020
- “This Fursona Does Not Exist—Fursona Editor (Tensorflow Version)”, 2020
- “This Fursona Does Not Exist”, 2020
- “Mapdreamer - AI Cartography”
- “GANSpace: Discovering Interpretable GAN Controls”, Et Al 2020
- “Pony Voice Event—What People Forced Ponies to Say!”, Daily 2020
- “E621 Face Dataset”, 2020
- “Why Do Line Drawings Work? A Realism Hypothesis”, 2020
- “StarGAN Based Facial Expression Transfer for Anime Characters”, 2020
- “SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks”, Et Al 2019
- “Generating Furry Face Art from Sketches Using a GAN”, 2019
- “Talking Head Anime from a Single Image”, 2019
- “Interpreting the Latent Space of GANs for Semantic Face Editing”, Et Al 2019
- “Style Generator Inversion for Image Enhancement and Animation”, 2019
- “Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?”, Et Al 2019
- “ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks”, Et Al 2018
- “Twin-GAN—Unpaired Cross-Domain Image Translation With Weight-Sharing GANs”, 2018
- “Cartoon Set”, Et Al 2018
- “Anime Style Space Exploration Using Metric Learning and Generative Adversarial Networks”, 2018
- “Progressive Growing of GANs for Improved Quality, Stability, and Variation”, Et Al 2017
- “StackGAN++: Realistic Image Synthesis With Stacked Generative Adversarial Networks”, Et Al 2017
- “Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario”, Et Al 2017
- “Towards the Automatic Anime Characters Creation With Generative Adversarial Networks”, Et Al 2017
- “BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography”, Et Al 2017
- “Pix2Pix: Image-to-Image Translation With Conditional Adversarial Networks”, Et Al 2016
-
“
Illustration2Vec: a Semantic Vector Representation of Illustrations”, 2015 - “Sketch-based Manga Retrieval Using Manga109 Dataset”, Et Al 2015
- “Large-scale CelebFaces Attributes (CelebA) Dataset”, Liu & Al 2015
- “Ukiyo-e Search”, 2013
- “Colormind—Color Schemes via Generative Adversarial Networks”
- “A Machine Learning Font”
- “GAN Explorations 011: StyleGAN2 + Stochastic Weight Averaging”
- “StyleGAN Anime Sliders: This Notebook Demonstrate How to Learn and Extract Controllable Directions from ThisAnimeDoesNotExist. This Takes a Pretrained StyleGAN and Uses DeepDanbooru to Extract Various Labels from a Number of Samples. It Then Uses Those Labels to Learn Various Attributes Which Are Controllable With Sliders”
- “A List of Papers and Other Resources on Computer Vision and Deep Learning With Anime Style Images”
- “This Is Great! Now That the Model Can Be Used in PyTorch, I’ve Starting Playing With @AydaoAI’s Anime StyleGAN Directly Guided by CLIP. Starting Slow by Searching for Asuka by Name in the Latent Space.”
- “Some Heavily Cherrypicked Samples from Transfer Learning Using @AydaoAI’s Enhanced StyleGAN2 Anime Model After 2 Days.”
- “Here’s a Link to My Colab If You’d like to Give It a Go Yourself. This Codebase Builds off of Previous Work from Many People including @advadnoun @RiversHaveWings @NerdyRodent as well as ClipDraw from @kvfrans @crosslabstokyo @err_more and @okw”
- “[P] StyleGAN on Anime Faces”
- “Glow: Better Reversible Generative Models”
- “TensorFlow Research Cloud (TRC): Accelerate Your Cutting-edge Machine Learning Research With Free Cloud TPUs”, TRC 2023
- “Now Anyone Can Train Imagenet in 18 Minutes”
- “Генерация Аниме С Помощью Нейросети StyleGAN”
- “Generative Modeling by Estimating Gradients of the Data Distribution”
- Wikipedia
- Miscellaneous
- Link Bibliography
See Also
Links
“StencilTorch: An Iterative and User-Guided Framework for Anime Lineart Colorization”, Et Al 2023
“StencilTorch: An Iterative and User-Guided Framework for Anime Lineart Colorization”, 2023-02-04 (; similar)
“Reference Based Sketch Extraction via Attention Mechanism”, Et Al 2022
“Reference Based Sketch Extraction via Attention Mechanism”, 2022-11-30 (; similar)
“AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies”, Et Al 2022
“AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies”, 2022-11-10 (; similar)
“We-toon: A Communication Support System between Writers and Artists in Collaborative Webtoon Sketch Revision”, Et Al 2022
“We-toon: A Communication Support System between Writers and Artists in Collaborative Webtoon Sketch Revision”, 2022-10 (; similar; bibliography)
“VToonify: Controllable High-Resolution Portrait Video Style Transfer”, Et Al 2022
“VToonify: Controllable High-Resolution Portrait Video Style Transfer”, 2022-09-22 (; similar; bibliography)
“Deep Learning for Image Colorization: Current and Future Prospects”, Et Al 2022
“Deep learning for image colorization: Current and future prospects”, 2022-09-01 (similar)
“Using Generative Adversarial Networks for Conditional Creation of Anime Posters”, Et Al 2022
“Using Generative Adversarial Networks for Conditional Creation of Anime Posters”, 2022-07-28 (; similar; bibliography)
“AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos”, Et Al 2022
“AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos”, 2022-06-14 (; similar)
“Towards Layer-wise Image Vectorization”, Et Al 2022
“Towards Layer-wise Image Vectorization”, 2022-06-09 (similar)
“Learning to Generate Artistic Character Line Drawing”, Et Al 2022
“Learning to Generate Artistic Character Line Drawing”, 2022-06-07 (; similar)
“MontageGAN: Generation and Assembly of Multiple Components by GANs”, 2022
“MontageGAN: Generation and Assembly of Multiple Components by GANs”, 2022-05-31 (; similar)
“Cross-Domain Style Mixing for Face Cartoonization”, Et Al 2022
“Cross-Domain Style Mixing for Face Cartoonization”, 2022-05-25 (; similar)
“A Challenging Benchmark of Anime Style Recognition”, Et Al 2022
“A Challenging Benchmark of Anime Style Recognition”, 2022-04-29 (; similar)
“Fast Text Placement Scheme for ASCII Art Synthesis”, 2022
“Fast Text Placement Scheme for ASCII Art Synthesis”, 2022-04-14 (; similar)
“KNN-Diffusion: Image Generation via Large-Scale Retrieval”, Et Al 2022
“KNN-Diffusion: Image Generation via Large-Scale Retrieval”, 2022-04-06 (; similar)
“Make-A-Scene: Scene-Based Text-to-Image Generation With Human Priors”, Et Al 2022
“Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors”, 2022-03-24 (; similar; bibliography)
“Learning to Generate Line Drawings That Convey Geometry and Semantics”, Et Al 2022
“Learning to generate line drawings that convey geometry and semantics”, 2022-03-23 (; similar)
“CAST: Character Labeling in Animation Using Self-supervision by Tracking”, Et Al 2022
“CAST: Character labeling in Animation using Self-supervision by Tracking”, 2022-01-19 (; similar)
“Intelli-Paint: Towards Developing Human-like Painting Agents”, Et Al 2021
“Intelli-Paint: Towards Developing Human-like Painting Agents”, 2021-12-16 (similar)
“AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment”, Et Al 2021
“AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment”, 2021-11-15 (; similar)
“Learning a Perceptual Manifold With Deep Features for Animation Video Resequencing”, Et Al 2021
“Learning a perceptual manifold with deep features for animation video resequencing”, 2021-11-02 (; similar)
“Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset—Addressing the Noise-Latent Trade-Off”, 2021
“Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset—Addressing the Noise-Latent Trade-Off”, 2021-08-19 (; backlinks; similar)
“LARGE: Latent-Based Regression through GAN Semantics”, Et Al 2021
“LARGE: Latent-Based Regression through GAN Semantics”, 2021-07-22 (; backlinks; similar)
“GANs N’ Roses: Stable, Controllable, Diverse Image to Image Translation (works for Videos Too!)”, 2021
“GANs N’ Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!)”, 2021-06-11 (; similar)
“Machine Learning Scaling”, 2021
“Machine Learning Scaling”, 2021-04-24 (; backlinks; bibliography)
“Towards Fully Automated Manga Translation”, Et Al 2020
“Towards Fully Automated Manga Translation”, 2020-12-28 (backlinks; similar)
“End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks”, 2020
“End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks”, 2020-11-11 (; backlinks; similar)
“The 2020s Political Economy of Machine Translation”, 2020
“The 2020s Political Economy of Machine Translation”, 2020-11-02 (; similar)
“Toonify: Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains”, 2020
“Toonify: Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains”, 2020-10-11 (; backlinks; similar)
“StyleGAN Network Blending”, 2020
“StyleGAN network blending”, 2020-08-25 (; backlinks; similar; bibliography)
“This Pony Does Not Exist”, 2020
“This Pony Does Not Exist”, 2020-07 (; backlinks; similar; bibliography)
“This Fursona Does Not Exist—Fursona Editor (Tensorflow Version)”, 2020
“This Fursona Does Not Exist—Fursona Editor (Tensorflow Version)”, 2020-06-01 (; backlinks; similar; bibliography)
“This Fursona Does Not Exist”, 2020
“This Fursona Does Not Exist”, 2020-05-07 (; backlinks; similar; bibliography)
“Mapdreamer - AI Cartography”
“Mapdreamer - AI cartography”2020-05-05 (; backlinks)
“GANSpace: Discovering Interpretable GAN Controls”, Et Al 2020
“GANSpace: Discovering Interpretable GAN Controls”, 2020-04-06 (; backlinks; similar)
“Pony Voice Event—What People Forced Ponies to Say!”, Daily 2020
“Pony Voice Event—What People Forced Ponies to Say!”, 2020-03-24
“E621 Face Dataset”, 2020
“E621 Face Dataset”, 2020-02-18 (; backlinks; bibliography)
“Why Do Line Drawings Work? A Realism Hypothesis”, 2020
“Why Do Line Drawings Work? A Realism Hypothesis”, 2020-02-14 ()
“StarGAN Based Facial Expression Transfer for Anime Characters”, 2020
“StarGAN Based Facial Expression Transfer for Anime Characters”, 2020-01-02 (; similar)
“SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks”, Et Al 2019
“SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks”, 2019-12-25 (backlinks; similar)
“Generating Furry Face Art from Sketches Using a GAN”, 2019
“Generating Furry Face Art from Sketches using a GAN”, 2019-12-01 (; similar)
“Talking Head Anime from a Single Image”, 2019
“Talking Head Anime from a Single Image”, 2019-11-25 (; backlinks)
“Interpreting the Latent Space of GANs for Semantic Face Editing”, Et Al 2019
“Interpreting the Latent Space of GANs for Semantic Face Editing”, 2019-07-25 (; backlinks; similar)
“Style Generator Inversion for Image Enhancement and Animation”, 2019
“Style Generator Inversion for Image Enhancement and Animation”, 2019-06-05 (; backlinks; similar)
“Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?”, Et Al 2019
“Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?”, 2019-04-05 (; backlinks; similar; bibliography)
“ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks”, Et Al 2018
“ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks”, 2018-09-01 (; backlinks; similar)
“Twin-GAN—Unpaired Cross-Domain Image Translation With Weight-Sharing GANs”, 2018
“Twin-GAN—Unpaired Cross-Domain Image Translation with Weight-Sharing GANs”, 2018-08-26 (; backlinks; similar)
“Cartoon Set”, Et Al 2018
“Cartoon Set”, 2018-07-10 (; backlinks; similar)
“Anime Style Space Exploration Using Metric Learning and Generative Adversarial Networks”, 2018
“Anime Style Space Exploration Using Metric Learning and Generative Adversarial Networks”, 2018-05-21 (backlinks; similar)
“Progressive Growing of GANs for Improved Quality, Stability, and Variation”, Et Al 2017
“Progressive Growing of GANs for Improved Quality, Stability, and Variation”, 2017-10-27 (; similar)
“StackGAN++: Realistic Image Synthesis With Stacked Generative Adversarial Networks”, Et Al 2017
“StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks”, 2017-10-19 (; backlinks; similar)
“Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario”, Et Al 2017
“Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario”, 2017-09-03 (backlinks; similar)
“Towards the Automatic Anime Characters Creation With Generative Adversarial Networks”, Et Al 2017
“Towards the Automatic Anime Characters Creation with Generative Adversarial Networks”, 2017-08-18 (; backlinks; similar)
“BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography”, Et Al 2017
“BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography”, 2017-04-27 (backlinks; similar)
“Pix2Pix: Image-to-Image Translation With Conditional Adversarial Networks”, Et Al 2016
“Pix2Pix: Image-to-Image Translation with Conditional Adversarial Networks”, 2016-11-21 (; similar)
“Illustration2Vec: a Semantic Vector Representation of Illustrations”, 2015
“Illustration2Vec: a semantic vector representation of illustrations”, 2015-11-02 (; backlinks; similar)
“Sketch-based Manga Retrieval Using Manga109 Dataset”, Et Al 2015
“Sketch-based Manga Retrieval using Manga109 Dataset”, 2015-10-15 (; backlinks; similar)
“Large-scale CelebFaces Attributes (CelebA) Dataset”, Liu & Al 2015
“Ukiyo-e Search”, 2013
“Ukiyo-e Search”, 2013 (; backlinks)
“Colormind—Color Schemes via Generative Adversarial Networks”
“A Machine Learning Font”
“GAN Explorations 011: StyleGAN2 + Stochastic Weight Averaging”
“StyleGAN Anime Sliders: This Notebook Demonstrate How to Learn and Extract Controllable Directions from ThisAnimeDoesNotExist. This Takes a Pretrained StyleGAN and Uses DeepDanbooru to Extract Various Labels from a Number of Samples. It Then Uses Those Labels to Learn Various Attributes Which Are Controllable With Sliders”
“StyleGAN Anime Sliders: This notebook demonstrate how to learn and extract controllable directions from ThisAnimeDoesNotExist. This takes a pretrained StyleGAN and uses DeepDanbooru to extract various labels from a number of samples. It then uses those labels to learn various attributes which are controllable with sliders” (; backlinks)
“A List of Papers and Other Resources on Computer Vision and Deep Learning With Anime Style Images”
“This Is Great! Now That the Model Can Be Used in PyTorch, I’ve Starting Playing With @AydaoAI’s Anime StyleGAN Directly Guided by CLIP. Starting Slow by Searching for Asuka by Name in the Latent Space.”
“Some Heavily Cherrypicked Samples from Transfer Learning Using @AydaoAI’s Enhanced StyleGAN2 Anime Model After 2 Days.”
“Here’s a Link to My Colab If You’d like to Give It a Go Yourself. This Codebase Builds off of Previous Work from Many People including @advadnoun @RiversHaveWings @NerdyRodent as well as ClipDraw from @kvfrans @crosslabstokyo @err_more and @okw”
“[P] StyleGAN on Anime Faces”
“Glow: Better Reversible Generative Models”
“TensorFlow Research Cloud (TRC): Accelerate Your Cutting-edge Machine Learning Research With Free Cloud TPUs”, TRC 2023
“TensorFlow Research Cloud (TRC): Accelerate your cutting-edge machine learning research with free Cloud TPUs”, (; backlinks; similar)
“Now Anyone Can Train Imagenet in 18 Minutes”
“Генерация Аниме С Помощью Нейросети StyleGAN”
“Generative Modeling by Estimating Gradients of the Data Distribution”
Wikipedia
Miscellaneous
-
2019-05-06-stylegan-malefaces-1ksamples.tar2019-05-06 (; backlinks) -
https://github.com/bilibili/ailab/blob/main/Real-CUGAN/README_EN.md -
https://github.com/xinntao/Real-ESRGAN/blob/master/docs/anime_video_model.md -
https://nitter.moomoo.me/minimaxir/status/1472258886979579904 -
https://nitter.moomoo.me/minimaxir/status/1474913997807755268 -
https://nitter.moomoo.me/nagolinc/status/1491723508111527938
Link Bibliography
-
2022-ko.pdf: “We-toon: A Communication Support System between Writers and Artists in Collaborative Webtoon Sketch Revision”, Hyung-Kwon Ko, Subin An, Gwanmo Park, Seung Kwon Kim, Daesik Kim, Bohyoung Kim, Jaemin Jo, Jinwook Seo: -
https://arxiv.org/abs/2209.11224: “VToonify: Controllable High-Resolution Portrait Video Style Transfer”, Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy: -
2022-sankalpa.pdf: “Using Generative Adversarial Networks for Conditional Creation of Anime Posters”, Donthi Sankalpa, Jayroop Ramesh, Imran Zualkernan: -
https://arxiv.org/abs/2203.13131#facebook: “Make-A-Scene: Scene-Based Text-to-Image Generation With Human Priors”, Oran Gafni, Adam Polyak, Oron Ashual, Shelly Sheynin, Devi Parikh, Yaniv Taigman: -
scaling: “Machine Learning Scaling”, Gwern Branwen: -
https://www.justinpinkney.com/stylegan-network-blending/: “StyleGAN Network Blending”, Justin Pinkney: -
https://thisponydoesnotexist.net/: “This Pony Does Not Exist”, Arfafax: -
https://fursona.app: “This Fursona Does Not Exist—Fursona Editor (Tensorflow Version)”, Arfafax: -
https://www.thisfursonadoesnotexist.com/: “This Fursona Does Not Exist”, Arfafax: -
https://github.com/arfafax/E621-Face-Dataset: “E621 Face Dataset”, Arfafax: -
2019-abdal.pdf: “Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?”, Rameen Abdal, Yipeng Qin, Peter Wonka: