“‘Anime AI’ Tag”,2019-09-30 ():
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Bibliography for tag
ai/anime, most recent first: 6 related tags, 86 annotations, & 87 links (parent).
- See Also
- Links
- “Computer-Aided Colorization State-Of-The-Science: A Survey”, et al 2024
- “Improvements to SDXL in NovelAI Diffusion V3”, et al 2024
- “The Rise of Terminator Zero With Writer Mattson Tomlin & Director Masashi Kudo”, 2024
- “NovelAI Diffusion V1 Weights Release”, NovelAI 2024
- “Tails Tell Tales: Chapter-Wide Manga Transcriptions With Character Names”, et al 2024
- “Sakuga-42M Dataset: Scaling Up Cartoon Research”, et al 2024
- “Zero-Shot Character Identification and Speaker Prediction in Comics via Iterative Multimodal Fusion”, et al 2024
- “Hierarchical Feature Warping and Blending for Talking Head Animation”, et al 2024
- “APISR: Anime Production Inspired Real-World Anime Super-Resolution”, et al 2024
- “The Manga Whisperer: Automatically Generating Transcriptions for Comics”, 2024
- “Introducing NovelAI Diffusion Anime V3”, NovelAI 2023
- “Abstraction-Perception Preserving Cartoon Face Synthesis”, et al 2023
- “Overview of Cartoon Face Generation”, et al 2023
- “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
- “Deep Learning for Image Colorization: Current and Future Prospects”, et al 2022b
- “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
- “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
- “GANs N’ Roses: Stable, Controllable, Diverse Image to Image Translation (works for Videos Too!)”, 2021
- “Towards Fully Automated Manga Translation”, et al 2020
- “The 2020s Political Economy of Machine Translation”, 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
- “PaintsTorch: a User-Guided Anime Line Art Colorization Tool With Double Generator Conditional Adversarial Network”, et al 2019
- “Generating Furry Face Art from Sketches Using a GAN”, 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
- “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
- “Towards Pony Diffusion V7, Going With the Flow.”, Astralite2024
- “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/StyleGAN-2_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”
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