- See Also
-
Links
- “Computer-Aided Colorization State-Of-The-Science: A Survey”, Cao et al 2024
- “Improvements to SDXL in NovelAI Diffusion V3”, Ossa et al 2024
- “The Rise of Terminator Zero With Writer Mattson Tomlin & Director Masashi Kudo”, Baron 2024
- “NovelAI Diffusion V1 Weights Release”, NovelAI 2024
- “Tails Tell Tales: Chapter-Wide Manga Transcriptions With Character Names”, Sachdeva et al 2024
- “Sakuga-42M Dataset: Scaling Up Cartoon Research”, Pan et al 2024
- “Zero-Shot Character Identification and Speaker Prediction in Comics via Iterative Multimodal Fusion”, Li et al 2024
- “Hierarchical Feature Warping and Blending for Talking Head Animation”, Zhang et al 2024
- “APISR: Anime Production Inspired Real-World Anime Super-Resolution”, Wang et al 2024
- “The Manga Whisperer: Automatically Generating Transcriptions for Comics”, Sachdeva & Zisserman 2024
- “Introducing NovelAI Diffusion Anime V3”, NovelAI 2023
- “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
- “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
- “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
- “GANs N’ Roses: Stable, Controllable, Diverse Image to Image Translation (works for Videos Too!)”, Chong & Forsyth 2021
- “Towards Fully Automated Manga Translation”, Hinami et al 2020
- “The 2020s Political Economy of Machine Translation”, Weber 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
- “PaintsTorch: a User-Guided Anime Line Art Colorization Tool With Double Generator Conditional Adversarial Network”, Hati et al 2019
- “Generating Furry Face Art from Sketches Using a GAN”, Yu 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
- “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
- “Towards Pony Diffusion V7, Going With the Flow.”, AstraliteHeart 2024
- “WatchGAN: Advancing Generated Watch Images With StyleGANs”
- “Faces2Anime: Cartoon Style Transfer in Faces Using Generative Adversarial Networks”
- “EndingCredits/Set-CGAN: Adaptation of Conventional GAN to Condition on Additional Input Set”
- “Joeyballentine/ESRGAN: A Modified Version of the Original ESRGAN Test.py Script With Added Features”
- “BigGAN-PyTorch: The Author’s Officially Unofficial PyTorch BigGAN Implementation”
- “Akanimax/Variational_Discriminator_Bottleneck: Implementation (with Some Experimentation) of the Paper Titled "Variational Discriminator Bottleneck"”
- “MSG-GAN: Multi-Scale Gradients GAN (Architecture Inspired from ProGAN but Doesn’t Use Layer-Wise Growing)”
- “Preprocess Danbooru Vectors—StyleGAN Conditional”
- “Real-CUGAN/README_EN.md”
- “Conditional Implementation for NVIDIA's StyleGAN Architecture”
- “V Objective Diffusion Inference Code for PyTorch”
- “ArtGAN/WikiArt Dataset”
- “Junyanz/CycleGAN: Software That Can Generate Photos from Paintings, Turn Horses into Zebras, Perform Style Transfer, and More.”
- “StyleGAN Made With Keras”
- “Martinarjovsky/WassersteinGAN”
- “Interpretation of Discriminator Loss”
- “Code for Reproducing Results in "Glow: Generative Flow With Invertible 1×1 Convolutions"”
- “Unofficial Implementation of StyleGAN's Generator”
- “A List of Papers and Other Resources on Computer Vision and Deep Learning With Anime Style Images”
- “Pytorch Implementation of ‘Large Scale GAN Training For High Fidelity Natural Image Synthesis’ (BigGAN)”
- “Simple Tensorflow Implementation of "Large Scale GAN Training for High Fidelity Natural Image Synthesis" (BigGAN)”
- “Simple Tensorflow Implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)”
- “Hayasaka.ai/StyleGAN2_Tazik_25GB_RAM.ipynb”
- “IllustrationGAN: A Simple, Clean TensorFlow Implementation of Generative Adversarial Networks With a Focus on Modeling Illustrations.”
- “Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution”
- “Real-ESRGAN/docs/anime_video_model.md at Master”
- “PaintsUndo: A Base Model of Drawing Behaviors in Digital Paintings”
- “Glow: Better Reversible Generative Models”
- “Video Shows off Hundreds of Beautiful AI-Created Anime Girls in Less Than a Minute”
- “This Anime Does Not Exist”
- “MASSIVE 💥 DALL·E 2 ANIME ⚡︎ KEYWORDS + MODIFIERS LIST ★ : Haaaaven”
- “Waifu Synthesis: Real Time Generative Anime”
- “The Rise of Anime Generating AI”
- dribnet
- Sort By Magic
- Wikipedia
- Miscellaneous
- Bibliography
See Also
Links
“Computer-Aided Colorization State-Of-The-Science: A Survey”, Cao et al 2024
“Improvements to SDXL in NovelAI Diffusion V3”, Ossa et al 2024
“The Rise of Terminator Zero With Writer Mattson Tomlin & Director Masashi Kudo”, Baron 2024
The Rise of Terminator Zero with Writer Mattson Tomlin & Director Masashi Kudo
“NovelAI Diffusion V1 Weights Release”, NovelAI 2024
“Tails Tell Tales: Chapter-Wide Manga Transcriptions With Character Names”, Sachdeva et al 2024
Tails Tell Tales: Chapter-Wide Manga Transcriptions with Character Names
“Sakuga-42M Dataset: Scaling Up Cartoon Research”, Pan et al 2024
“Zero-Shot Character Identification and Speaker Prediction in Comics via Iterative Multimodal Fusion”, Li et al 2024
Zero-Shot Character Identification and Speaker Prediction in Comics via Iterative Multimodal Fusion
“Hierarchical Feature Warping and Blending for Talking Head Animation”, Zhang et al 2024
Hierarchical Feature Warping and Blending for Talking Head Animation
“APISR: Anime Production Inspired Real-World Anime Super-Resolution”, Wang et al 2024
APISR: Anime Production Inspired Real-World Anime Super-Resolution
“The Manga Whisperer: Automatically Generating Transcriptions for Comics”, Sachdeva & Zisserman 2024
The Manga Whisperer: Automatically Generating Transcriptions for Comics
“Introducing NovelAI Diffusion Anime V3”, NovelAI 2023
“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
“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
“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
“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!)
“Towards Fully Automated Manga Translation”, Hinami et al 2020
“The 2020s Political Economy of Machine Translation”, Weber 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
“PaintsTorch: a User-Guided Anime Line Art Colorization Tool With Double Generator Conditional Adversarial Network”, Hati et al 2019
View PDF:
“Generating Furry Face Art from Sketches Using a GAN”, Yu 2019
“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
“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
“Towards Pony Diffusion V7, Going With the Flow.”, AstraliteHeart 2024
“WatchGAN: Advancing Generated Watch Images With StyleGANs”
“Faces2Anime: Cartoon Style Transfer in Faces Using Generative Adversarial Networks”
Faces2Anime: Cartoon Style Transfer in Faces using Generative Adversarial Networks
“EndingCredits/Set-CGAN: Adaptation of Conventional GAN to Condition on Additional Input Set”
EndingCredits/Set-CGAN: Adaptation of conventional GAN to condition on additional input set
“Joeyballentine/ESRGAN: A Modified Version of the Original ESRGAN Test.py Script With Added Features”
joeyballentine/ESRGAN: A modified version of the original ESRGAN test.py script with added features
“BigGAN-PyTorch: The Author’s Officially Unofficial PyTorch BigGAN Implementation”
BigGAN-PyTorch: The author’s officially unofficial PyTorch BigGAN implementation
“Akanimax/Variational_Discriminator_Bottleneck: Implementation (with Some Experimentation) of the Paper Titled "Variational Discriminator Bottleneck"”
“MSG-GAN: Multi-Scale Gradients GAN (Architecture Inspired from ProGAN but Doesn’t Use Layer-Wise Growing)”
“Preprocess Danbooru Vectors—StyleGAN Conditional”
“Real-CUGAN/README_EN.md”
“Conditional Implementation for NVIDIA's StyleGAN Architecture”
Conditional implementation for NVIDIA's StyleGAN architecture
“V Objective Diffusion Inference Code for PyTorch”
“ArtGAN/WikiArt Dataset”
“Junyanz/CycleGAN: Software That Can Generate Photos from Paintings, Turn Horses into Zebras, Perform Style Transfer, and More.”
“StyleGAN Made With Keras”
“Martinarjovsky/WassersteinGAN”
“Interpretation of Discriminator Loss”
“Code for Reproducing Results in "Glow: Generative Flow With Invertible 1×1 Convolutions"”
Code for reproducing results in "Glow: Generative Flow with Invertible 1×1 Convolutions"
“Unofficial Implementation of StyleGAN's Generator”
“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
“Pytorch Implementation of ‘Large Scale GAN Training For High Fidelity Natural Image Synthesis’ (BigGAN)”
“Simple Tensorflow Implementation of "Large Scale GAN Training for High Fidelity Natural Image Synthesis" (BigGAN)”
“Simple Tensorflow Implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)”
Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)
“Hayasaka.ai/StyleGAN2_Tazik_25GB_RAM.ipynb”
“IllustrationGAN: A Simple, Clean TensorFlow Implementation of Generative Adversarial Networks With a Focus on Modeling Illustrations.”
“Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution”
Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution
“Real-ESRGAN/docs/anime_video_model.md at Master”
“PaintsUndo: A Base Model of Drawing Behaviors in Digital Paintings”
PaintsUndo: A Base Model of Drawing Behaviors in Digital Paintings
“Glow: Better Reversible Generative Models”
“Video Shows off Hundreds of Beautiful AI-Created Anime Girls in Less Than a Minute”
Video shows off hundreds of beautiful AI-created anime girls in less than a minute:
“This Anime Does Not Exist”
“MASSIVE 💥 DALL·E 2 ANIME ⚡︎ KEYWORDS + MODIFIERS LIST ★ : Haaaaven”
MASSIVE 💥 DALL·E 2 ANIME ⚡︎ KEYWORDS + MODIFIERS LIST ★ : haaaaven:
“Waifu Synthesis: Real Time Generative Anime”
“The Rise of Anime Generating AI”
dribnet
Sort By Magic
Annotations sorted by machine learning into inferred 'tags'. This provides an alternative way to browse: instead of by date order, one can browse in topic order. The 'sorted' list has been automatically clustered into multiple sections & auto-labeled for easier browsing.
Beginning with the newest annotation, it uses the embedding of each annotation to attempt to create a list of nearest-neighbor annotations, creating a progression of topics. For more details, see the link.
image-generation
animation-research
super-resolution
character-creation
manga-retrieval
Wikipedia
Miscellaneous
-
/doc/ai/anime/2023-11-15-gwern-meme-boxergothands-humanartistdifficultyindrawingrealistichands.jpg: -
/doc/ai/anime/2023-08-17-gwern-meme-domino-historyofanimeaistartingwithgwernandshawnpresser.jpg: -
/doc/ai/anime/2022-ashual-figure3-knndiffusioncartoonstickersamples.png: -
/doc/ai/nn/gan/stylegan/anime/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://computationalcreativity.net/iccc21/wp-content/uploads/2021/09/ICCC_2021_paper_52.pdf: -
https://globalcomix.com/c/paintings-photographs/chapters/en/1/1:View HTML (127MB):
/doc/www/globalcomix.com/b4b0f3198cb61bd8da40b7d356a78e014dee3fc9.html -
https://huggingface.co/Onodofthenorth/SD_PixelArt_SpriteSheet_Generator -
https://journal.atp.art/the-next-rembrandt-who-holds-the-copyright-in-computer-generated-art/ -
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://vrroom.github.io/blog/2024/02/23/comic-frame-segmentation.html: -
View HTML (29MB):
/doc/www/wandb.ai/5705849799e7ef679c3ffd7b9bf0954d7b12d046.html -
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/: -
https://www.reddit.com/r/midjourney/comments/1agzdeg/loving_the_new_sref_feature/: -
https://www.wired.com/story/artificial-intelligence-csam-pedophilia/ -
https://yosefk.com/blog/the-state-of-ai-for-hand-drawn-animation-inbetweening.html:
Bibliography
-
https://arxiv.org/abs/2409.15997#novelai: “Improvements to SDXL in NovelAI Diffusion V3”, -
2022-sankalpa.pdf: “Using Generative Adversarial Networks for Conditional Creation of Anime Posters”, -
https://arxiv.org/abs/2203.13131#facebook: “Make-A-Scene: Scene-Based Text-To-Image Generation With Human Priors”, -
https://github.com/arfafax/E621-Face-Dataset: “E621 Face Dataset”,