- See Also
-
Links
- “Abstraction-Perception Preserving Cartoon Face Synthesis”, Ho et al 2023
- “Overview of Cartoon Face Generation”, Shen et al 2023
- “StencilTorch: An Iterative and User-Guided Framework for Anime Lineart Colorization”, Hati et al 2023
- “Reference Based Sketch Extraction via Attention Mechanism”, Ashtari et al 2022
- “AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies”, Siyao et al 2022
- “We-toon: A Communication Support System between Writers and Artists in Collaborative Webtoon Sketch Revision”, Ko et al 2022b
- “VToonify: Controllable High-Resolution Portrait Video Style Transfer”, Yang et al 2022
- “Deep Learning for Image Colorization: Current and Future Prospects”, Huang et al 2022b
- “Using Generative Adversarial Networks for Conditional Creation of Anime Posters”, Sankalpa et al 2022
- “AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos”, Wu et al 2022
- “Towards Layer-wise Image Vectorization”, Ma et al 2022
- “Learning to Generate Artistic Character Line Drawing”, Fang et al 2022
- “MontageGAN: Generation and Assembly of Multiple Components by GANs”, Shee & Uchida 2022
- “Cross-Domain Style Mixing for Face Cartoonization”, Kim et al 2022
- “A Challenging Benchmark of Anime Style Recognition”, Li et al 2022
- “Fast Text Placement Scheme for ASCII Art Synthesis”, Chung & Kwon 2022
- “KNN-Diffusion: Image Generation via Large-Scale Retrieval”, Ashual et al 2022
- “Make-A-Scene: Scene-Based Text-to-Image Generation With Human Priors”, Gafni et al 2022
- “Learning to Generate Line Drawings That Convey Geometry and Semantics”, Chan et al 2022
- “CAST: Character Labeling in Animation Using Self-supervision by Tracking”, Nir et al 2022
- “Intelli-Paint: Towards Developing Human-like Painting Agents”, Singh et al 2021
- “AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment”, Kim et al 2021
- “Learning a Perceptual Manifold With Deep Features for Animation Video Resequencing”, Morace et al 2021
- “Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset—Addressing the Noise-Latent Trade-Off”, Vavilala & Forsyth 2021
- “LARGE: Latent-Based Regression through GAN Semantics”, Nitzan et al 2021
- “GANs N’ Roses: Stable, Controllable, Diverse Image to Image Translation (works for Videos Too!)”, Chong & Forsyth 2021
- “Machine Learning Scaling”, Gwern 2021
- “Towards Fully Automated Manga Translation”, Hinami et al 2020
- “End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks”, Xue 2020
- “The 2020s Political Economy of Machine Translation”, Weber 2020
- “Toonify: Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains”, Pinkney & Adler 2020
- “StyleGAN Network Blending”, Pinkney 2020
- “This Pony Does Not Exist”, Arfafax 2020
- “This Fursona Does Not Exist—Fursona Editor (Tensorflow Version)”, Arfafax 2020
- “This Fursona Does Not Exist”, Arfafax 2020
- “GANSpace: Discovering Interpretable GAN Controls”, Härkönen et al 2020
- “Pony Voice Event—What People Forced Ponies to Say!”, Daily 2020
- “E621 Face Dataset”, Arfafax 2020
- “Why Do Line Drawings Work? A Realism Hypothesis”, Hertzmann 2020
- “StarGAN Based Facial Expression Transfer for Anime Characters”, Mobini & Ghaderi 2020
- “SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks”, Lamb et al 2019
- “Generating Furry Face Art from Sketches Using a GAN”, Yu 2019
- “PaintsTorch: a User-Guided Anime Line Art Colorization Tool With Double Generator Conditional Adversarial Network”, Hati et al 2019
- “Talking Head Anime from a Single Image”, Khungurn 2019
- “Interpreting the Latent Space of GANs for Semantic Face Editing”, Shen et al 2019
- “Style Generator Inversion for Image Enhancement and Animation”, Gabbay & Hoshen 2019
- “Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?”, Abdal et al 2019
- “ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks”, Wang et al 2018
- “Twin-GAN—Unpaired Cross-Domain Image Translation With Weight-Sharing GANs”, Li 2018
- “Cartoon Set”, Royer et al 2018
- “Anime Style Space Exploration Using Metric Learning and Generative Adversarial Networks”, Xiang & Li 2018
- “Progressive Growing of GANs for Improved Quality, Stability, and Variation”, Karras et al 2017
- “StackGAN++: Realistic Image Synthesis With Stacked Generative Adversarial Networks”, Zhang et al 2017
- “Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario”, Vie et al 2017
- “Towards the Automatic Anime Characters Creation With Generative Adversarial Networks”, Jin et al 2017
- “BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography”, Wilber et al 2017
- “Pix2Pix: Image-to-Image Translation With Conditional Adversarial Networks”, Isola et al 2016
-
“
Illustration2Vec: a Semantic Vector Representation of Illustrations”, Masaki & Matsui 2015 - “Sketch-based Manga Retrieval Using Manga109 Dataset”, Matsui et al 2015
- “Ukiyo-e Search”, Resig 2013
- “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”
- “Glow: Better Reversible Generative Models”
- “TensorFlow Research Cloud (TRC): Accelerate Your Cutting-edge Machine Learning Research With Free Cloud TPUs”, TRC 2023
- advadnoun
- arfafax
- dribnet
- “Now Anyone Can Train Imagenet in 18 Minutes”
- “[P] StyleGAN on Anime Faces”
- “Генерация Аниме С Помощью Нейросети StyleGAN”
- “Generative Modeling by Estimating Gradients of the Data Distribution”
- Wikipedia
- Miscellaneous
- Link Bibliography
See Also
Links
“Abstraction-Perception Preserving Cartoon Face Synthesis”, Ho et al 2023
“Overview of Cartoon Face Generation”, Shen et al 2023
“StencilTorch: An Iterative and User-Guided Framework for Anime Lineart Colorization”, Hati et al 2023
“StencilTorch: An Iterative and User-Guided Framework for Anime Lineart Colorization”
“Reference Based Sketch Extraction via Attention Mechanism”, Ashtari et al 2022
“AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies”, Siyao et al 2022
“AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies”
“We-toon: A Communication Support System between Writers and Artists in Collaborative Webtoon Sketch Revision”, Ko et al 2022b
“VToonify: Controllable High-Resolution Portrait Video Style Transfer”, Yang et al 2022
“VToonify: Controllable High-Resolution Portrait Video Style Transfer”
“Deep Learning for Image Colorization: Current and Future Prospects”, Huang et al 2022b
“Deep learning for image colorization: Current and future prospects”
“Using Generative Adversarial Networks for Conditional Creation of Anime Posters”, Sankalpa et al 2022
“Using Generative Adversarial Networks for Conditional Creation of Anime Posters”
“AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos”, Wu et al 2022
“AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos”
“Towards Layer-wise Image Vectorization”, Ma et al 2022
“Learning to Generate Artistic Character Line Drawing”, Fang et al 2022
“MontageGAN: Generation and Assembly of Multiple Components by GANs”, Shee & Uchida 2022
“MontageGAN: Generation and Assembly of Multiple Components by GANs”
“Cross-Domain Style Mixing for Face Cartoonization”, Kim et al 2022
“A Challenging Benchmark of Anime Style Recognition”, Li et al 2022
“Fast Text Placement Scheme for ASCII Art Synthesis”, Chung & Kwon 2022
“KNN-Diffusion: Image Generation via Large-Scale Retrieval”, Ashual et al 2022
“Make-A-Scene: Scene-Based Text-to-Image Generation With Human Priors”, Gafni et al 2022
“Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors”
“Learning to Generate Line Drawings That Convey Geometry and Semantics”, Chan et al 2022
“Learning to generate line drawings that convey geometry and semantics”
“CAST: Character Labeling in Animation Using Self-supervision by Tracking”, Nir et al 2022
“CAST: Character labeling in Animation using Self-supervision by Tracking”
“Intelli-Paint: Towards Developing Human-like Painting Agents”, Singh et al 2021
“Intelli-Paint: Towards Developing Human-like Painting Agents”
“AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment”, Kim et al 2021
“AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment”
“Learning a Perceptual Manifold With Deep Features for Animation Video Resequencing”, Morace et al 2021
“Learning a perceptual manifold with deep features for animation video resequencing”
“Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset—Addressing the Noise-Latent Trade-Off”, Vavilala & Forsyth 2021
“LARGE: Latent-Based Regression through GAN Semantics”, Nitzan et al 2021
“GANs N’ Roses: Stable, Controllable, Diverse Image to Image Translation (works for Videos Too!)”, Chong & Forsyth 2021
“GANs N’ Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!)”
“Machine Learning Scaling”, Gwern 2021
“Towards Fully Automated Manga Translation”, Hinami et al 2020
“End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks”, Xue 2020
“End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks”
“The 2020s Political Economy of Machine Translation”, Weber 2020
“Toonify: Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains”, Pinkney & Adler 2020
“Toonify: Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains”
“StyleGAN Network Blending”, Pinkney 2020
“This Pony Does Not Exist”, Arfafax 2020
“This Fursona Does Not Exist—Fursona Editor (Tensorflow Version)”, Arfafax 2020
“This Fursona Does Not Exist—Fursona Editor (Tensorflow Version)”
“This Fursona Does Not Exist”, Arfafax 2020
“GANSpace: Discovering Interpretable GAN Controls”, Härkönen et al 2020
“Pony Voice Event—What People Forced Ponies to Say!”, Daily 2020
“E621 Face Dataset”, Arfafax 2020
“Why Do Line Drawings Work? A Realism Hypothesis”, Hertzmann 2020
“StarGAN Based Facial Expression Transfer for Anime Characters”, Mobini & Ghaderi 2020
“StarGAN Based Facial Expression Transfer for Anime Characters”
“SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks”, Lamb et al 2019
“Generating Furry Face Art from Sketches Using a GAN”, Yu 2019
“PaintsTorch: a User-Guided Anime Line Art Colorization Tool With Double Generator Conditional Adversarial Network”, Hati et al 2019
“Talking Head Anime from a Single Image”, Khungurn 2019
“Interpreting the Latent Space of GANs for Semantic Face Editing”, Shen et al 2019
“Interpreting the Latent Space of GANs for Semantic Face Editing”
“Style Generator Inversion for Image Enhancement and Animation”, Gabbay & Hoshen 2019
“Style Generator Inversion for Image Enhancement and Animation”
“Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?”, Abdal et al 2019
“Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?”
“ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks”, Wang et al 2018
“ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks”
“Twin-GAN—Unpaired Cross-Domain Image Translation With Weight-Sharing GANs”, Li 2018
“Twin-GAN—Unpaired Cross-Domain Image Translation with Weight-Sharing GANs”
“Cartoon Set”, Royer et al 2018
“Anime Style Space Exploration Using Metric Learning and Generative Adversarial Networks”, Xiang & Li 2018
“Anime Style Space Exploration Using Metric Learning and Generative Adversarial Networks”
“Progressive Growing of GANs for Improved Quality, Stability, and Variation”, Karras et al 2017
“Progressive Growing of GANs for Improved Quality, Stability, and Variation”
“StackGAN++: Realistic Image Synthesis With Stacked Generative Adversarial Networks”, Zhang et al 2017
“StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks”
“Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario”, Vie et al 2017
“Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario”
“Towards the Automatic Anime Characters Creation With Generative Adversarial Networks”, Jin et al 2017
“Towards the Automatic Anime Characters Creation with Generative Adversarial Networks”
“BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography”, Wilber et al 2017
“BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography”
“Pix2Pix: Image-to-Image Translation With Conditional Adversarial Networks”, Isola et al 2016
“Pix2Pix: Image-to-Image Translation with Conditional Adversarial Networks”
“Illustration2Vec: a Semantic Vector Representation of Illustrations”, Masaki & Matsui 2015
“Illustration2Vec: a semantic vector representation of illustrations”
“Sketch-based Manga Retrieval Using Manga109 Dataset”, Matsui et al 2015
“Ukiyo-e Search”, Resig 2013
“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”
“A list of papers and other resources on computer vision and deep learning with anime style images”
“Glow: Better Reversible Generative Models”
“TensorFlow Research Cloud (TRC): Accelerate Your Cutting-edge Machine Learning Research With Free Cloud TPUs”, TRC 2023
advadnoun
arfafax
dribnet
“Now Anyone Can Train Imagenet in 18 Minutes”
“[P] StyleGAN on Anime Faces”
“Генерация Аниме С Помощью Нейросети StyleGAN”
“Generative Modeling by Estimating Gradients of the Data Distribution”
“Generative Modeling by Estimating Gradients of the Data Distribution”
Wikipedia
Miscellaneous
-
/doc/ai/anime/2023-11-15-gwern-meme-boxergothands-humanartistdifficultyindrawingrealistichands.png -
/doc/ai/anime/2023-08-17-gwern-meme-domino-historyofanimeaistartingwithgwernandshawnpresser.png -
/doc/ai/anime/2022-ashual-figure3-knndiffusioncartoonstickersamples.png -
/doc/ai/nn/gan/stylegan/2019-02-27-synced-fromfacestokittiestoapartments.html -
https://ai.facebook.com/blog/using-ai-to-bring-childrens-drawings-to-life -
https://blog.novelai.net/novelai-improvements-on-stable-diffusion-e10d38db82ac -
https://colab.research.google.com/drive/189LHTpYaefMhKNIGOzTLHHavlgmoIWg9 -
https://digital-thinking.de/watchgan-advancing-generated-watch-images-with-stylegans/ -
https://github.com/akanimax/Variational_Discriminator_Bottleneck -
https://github.com/bilibili/ailab/blob/main/Real-CUGAN/README_EN.md -
https://github.com/cs-chan/ArtGAN/tree/master/WikiArt%20Dataset -
https://github.com/martinarjovsky/WassersteinGAN/issues/2#issuecomment-278710552 -
https://github.com/taziksh/hayasaka.ai/blob/master/StyleGAN2_Tazik_25GB_RAM.ipynb -
https://github.com/xinntao/Real-ESRGAN/blob/master/docs/anime_video_model.md -
https://globalcomix.com/c/paintings-photographs/chapters/en/1/1 -
https://huggingface.co/Onodofthenorth/SD_PixelArt_SpriteSheet_Generator -
https://medium.com/@enryu9000/anifusion-diffusion-models-for-anime-pictures-138cf1af2cbe -
https://saltacc.notion.site/saltacc/WD-1-5-Beta-3-Release-Notes-1e35a0ed1bb24c5b93ec79c45c217f63 -
https://twitter.com/novelaiofficial/status/1723601550927356343 -
https://www.kaggle.com/code/andy8744/generating-ganyu-from-trained-model/notebook -
https://www.kaggle.com/code/andy8744/predict-anime-face-using-pre-trained-model/data -
https://www.kaggle.com/datasets/andy8744/rezero-rem-anime-faces-for-gan-training -
https://www.reddit.com/r/AnimeResearch/comments/txvu3a/anime_x_dalle_2_thread/ -
https://www.reddit.com/r/AnimeResearch/comments/wdeyg2/stablediffusion_kurisu_from_steins_gate/ -
https://www.reddit.com/r/DiscoDiffusion/comments/tcfk8y/i_accidentally_made_a_furry_details_inside/ -
https://www.reddit.com/r/MediaSynthesis/comments/tiil1b/xx_waifu_01_xx_loop_by_squaremusher/ -
https://www.reddit.com/r/StableDiffusion/comments/12pvhhm/animov01_highresolution_anime_finetune_of/ -
https://www.reddit.com/r/StableDiffusion/comments/zk8y50/badartist_negative_embedding/ -
https://www.reddit.com/r/dalle2/comments/11oiqrb/classic_anime_characters_made_using_the_new/ -
https://www.reddit.com/r/dalle2/comments/11zq37j/the_legend_of_zelda_made_using_experimental_dalle2/
Link Bibliography
-
2022-ko-2.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 -
https://www.justinpinkney.com/blog/2020/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 -
https://sites.research.google/trc/: “TensorFlow Research Cloud (TRC): Accelerate Your Cutting-edge Machine Learning Research With Free Cloud TPUs”, TRC