- See Also
-
Links
- “Hand-drawn Anime Line Drawing Colorization of Faces With Texture Details”, Akita et al 2023
- “Semi-supervised Reference-based Sketch Extraction Using a Contrastive Learning Framework”, Seo et al 2023
- “High-Quality Synthetic Character Image Extraction via Distortion Recognition”, Sawada et al 2023
- “Anime Character Identification and Tag Prediction by Multimodality Modeling: Dataset and Model”, Yi et al 2023
- “Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation”, Wei et al 2023
- “DualVAE: Controlling Colors of Generated and Real Images”, Rathakumar et al 2023
- “Generalizable Synthetic Image Detection via Language-guided Contrastive Learning”, Wu et al 2023
- “Generative Model Watermarking Suppressing High-Frequency Artifacts”, Zhang et al 2023
- “Multi-Label Classification in Anime Illustrations Based on Hierarchical Attribute Relationships”, Lan et al 2023
- “Diffusart: Enhancing Line Art Colorization With Conditional Diffusion Models”, Carrillo et al 2023
- “Hierarchical Multi-Label Attribute Classification With Graph Convolutional Networks on Anime Illustration”, Lan et al 2023
- “Parsing-Conditioned Anime Translation: A New Dataset and Method”, Li et al 2023c
- “Thangka Sketch Colorization Based on Multi-Level Adaptive-Instance-Normalized Color Fusion and Skip Connection Attention”, Li et al 2023
- “Two-Step Training: Adjustable Sketch Colorization via Reference Image and Text Tag”, Yan et al 2023
- “Reference-based Image Composition With Sketch via Structure-aware Diffusion Model”, Kim et al 2023
- “KD-DLGAN: Data Limited Image Generation via Knowledge Distillation”, Cui et al 2023
- “AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models”, Cao et al 2023
- “Enhancing Image Representation in Conditional Image Synthesis”, Shim et al 2023
- “FEditNet: Few-shot Editing of Latent Semantics in GAN Spaces”, Xia et al 2023
- “A Novel Model Watermarking for Protecting Generative Adversarial Network”, Qiao et al 2023
- “PMSGAN: Parallel Multistage GANs for Face Image Translation”, Liang et al 2023
- “Fast Semi-supervised Self-training Algorithm Based on Data Editing”, Li et al 2023
- “FAEC-GAN: An Unsupervised Face-to-anime Translation Based on Edge Enhancement and Coordinate Attention”, Lin et al 2023
- “DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editings”, Li et al 2023
- “HRInversion: High-Resolution GAN Inversion for Cross-Domain Image Synthesis”, Zhou et al 2022b
- “Appearance-preserved Portrait-to-anime Translation via Proxy-guided Domain Adaptation”, Xiao et al 2022
- “Augmenting Conversations With Comic-Style Word Balloons”, Zhang et al 2022
- “Dr.3D: Adapting 3D GANs to Artistic Drawings”, Jin et al 2022
- “Unsupervised Discovery of Disentangled Interpretable Directions for Layer-Wise GAN”, Hu et al 2022b
- “DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning”, Dong et al 2022
- “A Creative Industry Image Generation Dataset Based on Captions”, Yuejia et al 2022
- “An Analysis: Different Methods about Line Art Colorization”, Gao et al 2022b
- “Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization”, Cho et al 2022
- “GCN-Based Multi-Modal Multi-Label Attribute Classification in Anime Illustration Using Domain-Specific Semantic Features”, Lan et al 2022
- “AniWho: A Quick and Accurate Way to Classify Anime Character Faces in Images”, Naftali et al 2022
- “Generalizing Factorization of GANs by Characterizing Convolutional Layers”, Wang et al 2022b
- “Collaborative Neural Rendering Using Anime Character Sheets”, Lin et al 2022
- “Anime Character Recognition Using Intermediate Features Aggregation”, Rios et al 2022
- “Pastiche Master (DualStyleGAN): Exemplar-Based High-Resolution Portrait Style Transfer”, Yang et al 2022
- “DualStyleGAN: Official PyTorch Implementation for "Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer"”, Yang et al 2022
- “Classify and Generate: Using Classification Latent Space Representations for Image Generations”, Gopalakrishnan et al 2022
- “Pro-PULSE: Learning Progressive Encoders of Latent Semantics in GANs for Photo Upsampling”, Zhou et al 2022
- “Image Quality Assessment Using Synthetic Images”, Madhusudana et al 2022
- “Late-Resizing: A Simple but Effective Sketch Extraction Strategy for Improving Generalization of Line-Art Colorization”, Kim et al 2022b
- “Passive Non-Line-of-Sight Imaging Using Optimal Transport”, Geng et al 2021
- “Deceive D: Adaptive Pseudo Augmentation for GAN Training With Limited Data”, Jiang et al 2021
- “3D Modeling Design of Multirole Virtual Character Based on Visual Communication in Wireless Sensor Networks”, Qu & Li 2021
- “Unsupervised Learning of Compositional Energy Concepts”, Du et al 2021
- “StyleGAN of All Trades: Image Manipulation With Only Pretrained StyleGAN”, Chong et al 2021
- “Fine-Grained Control of Artistic Styles in Image Generation”, Miao et al 2021
- “Evaluating Loss Functions for Illustration Super-Resolution Neural Networks”, Nepomuceno & Silva 2021
- “SmartShadow: Artistic Shadow Drawing Tool for Line Drawings”, Zhang et al 2021
- “Generative Probabilistic Image Colorization”, Furusawa et al 2021
- “Unaligned Image-to-Image Translation by Learning to Reweight”, Xie et al 2021
- “Line Art Colorization Based on Explicit Region Segmentation”, Cao et al 2021
- “DP-LaSE: Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations”, Li et al 2021b
- “Transfer Learning for Pose Estimation of Illustrated Characters”, Chen & Zwicker 2021
- “Graph Jigsaw Learning for Cartoon Face Recognition”, Li et al 2021
- “Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects”, Kim et al 2021
- “Hide Chopin in the Music: Efficient Information Steganography Via Random Shuffling”, Sun et al 2021
- “User-Guided Line Art Flat Filling With Split Filling Mechanism”, Zhang et al 2021
- “AdvStyle: Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes”, Yang et al 2021
- “Generating Manga from Illustrations via Mimicking Manga Workflow”, Zhang et al 2021
- “MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains”, Wang et al 2021
- “EigenGAN: Layer-Wise Eigen-Learning for GANs”, He et al 2021
- “Cross-Domain and Disentangled Face Manipulation With 3D Guidance”, Wang et al 2021
- “Line Art Colorization With Concatenated Spatial Attention”, Yuan & Simo-Serra 2021
- “CómicGAN: Generación De Ilustraciones Con Redes GAN De Crecimiento Progresivo”, Hernández 2021
- “Few-shot Semantic Image Synthesis Using StyleGAN Prior”, Endo & Kanamori 2021
- “AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation”, Li et al 2021
- “Hiding Data Hiding”, Wu et al 2021
- “Danbooru 2020 Zero-shot Anime Character Identification Dataset (ZACI-20)”, Akimoto 2021
- “DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition”, Rios et al 2021
- “Scoring Images from TADNE With CLIP”, nagolinc 2021
- “This Anime Does Not Exist.ai (TADNE)”, Nearcyan et al 2021
- “Stylized-Colorization for Line Arts”, Fang et al 2021
- “Semi-automatic Manga Colorization Using Conditional Adversarial Networks”, Golyadkin & Makarov 2021
- “Data Instance Prior for Transfer Learning in GANs”, Mangla et al 2020
- “LDM: Automatic Colorization of Anime Style Illustrations Using a Two-Stage Generator”, Lee & Lee 2020
- “Automatic Colorization of High-resolution Animation Style Line-art Based on Frequency Separation and Two-Stage Generator”, Lee & Lee 2020b
- “Colorization of Line Drawings With Empty Pupils”, Akita et al 2020b
- “Network-to-Network Translation With Conditional Invertible Neural Networks”, Rombach et al 2020
- “Few-Shot Adaptation of Generative Adversarial Networks”, Robb et al 2020
- “Watermarking Neural Networks With Watermarked Images”, Wu et al 2020
- “Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network”, Huang et al 2020
- “Deep Learning-based Classification of the Polar Emotions of ‘moe’-style Cartoon Pictures”, Cao et al 2020b
- “RegDeepDanbooru: Yet Another Deep Danbooru Project”, zyddnys 2020
- “Yet-Another-Anime-Segmenter”, zymk9 2020
- “Unconstrained Text Detection in Manga”, Gobbo & Herrera 2020
- “Learning from the Past: Meta-Continual Learning With Knowledge Embedding for Jointly Sketch, Cartoon, and Caricature Face Recognition”, Zheng et al 2020b
- “A Good Image Generator Is What You Need for High-Resolution Video Synthesis”, Tian et al 2020
- “Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis”, Anonymous 2020
- “Demonstrating That Dataset Domains Are Largely Linearly Separable in the Feature Space of Common CNNs”, Dragan 2020
- “SickZil-Machine (SZMC): A Deep Learning Based Script Text Isolation System for Comics Translation”, Ko & Cho 2020
- “Closed-Form Factorization of Latent Semantics in GANs”, Shen & Zhou 2020
- “Multi-Density Sketch-to-Image Translation Network”, Huang et al 2020
- “System for Searching Illustrations of Anime Characters Focusing on Degrees of Character Attributes”, Koyama et al 2020
- “Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence”, Lee et al 2020
- “Anime Crop Datasets: Faces, Figures, & Hands”, Branwen et al 2020
- “MakeItTalk: Speaker-Aware Talking-Head Animation”, Zhou et al 2020
- “Classification Representations Can Be Reused for Downstream Generations”, Gopalakrishnan et al 2020
- “Avatar Artist Using GAN [CS230]”, Su & Fang 2020
- “Designing Network Design Spaces”, Radosavovic et al 2020
- “Training Effective Model for Real-Time Detection of NSFW Photos and Drawings”, Zhelonkin & Karpov 2020
- “Deep-Eyes: Fully Automatic Anime Character Colorization With Painting of Details on Empty Pupils”, Akita et al 2020
- “GochiUsa Faces, A Dataset For Anime Faces”, Rignak 2020
- “MineGAN: Effective Knowledge Transfer from GANs to Target Domains With Few Images”, Wang et al 2019
- “Interactive Anime Sketch Colorization With Style Consistency via a Deep Residual Neural Network”, Ye et al 2019
- “Unpaired Sketch-to-Line Translation via Synthesis of Sketches”, Lee et al 2019b
- “CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator”, Chen et al 2019
- “Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination”, Soh et al 2019
- “Semantic Example Guided Image-to-Image Translation”, Huang et al 2019
- “Artbreeder”, Simon 2019
- “Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss”, Kim et al 2019
- “Anime Sketch Coloring With Swish-gated Residual U-net and Spectrally Normalized GAN (SSN-GAN)”, Liu et al 2019
- “U-GAT-IT: Unsupervised Generative Attentional Networks With Adaptive Layer-Instance Normalization for Image-to-Image Translation”, Kim et al 2019
- “How We Built the Waifu Vending Machine”, Studios 2019
- “Waifu Labs”, Studios 2019
- “SAN: Second-Order Attention Network for Single Image Super-Resolution”, Dai et al 2019
- “Disentangling Style and Content in Anime Illustrations”, Xiang & Li 2019
- “LFFD: A Light and Fast Face Detector for Edge Devices”, He et al 2019
- “Image Generation From Small Datasets via Batch Statistics Adaptation”, Noguchi & Harada 2019
- “ThisWaifuDoesNotExist.net”, Branwen 2019
- “This Waifu Does Not Exist”, Gwern 2019
- “Anime Neural Net Graveyard”, Gwern 2019
- “Making Anime Faces With StyleGAN”, Gwern 2019
- “Making Anime With BigGAN”, Gwern 2019
- “Spatially Controllable Image Synthesis With Internal Representation Collaging”, Suzuki et al 2018
- “Improving Shape Deformation in Unsupervised Image-to-Image Translation”, Gokaslan et al 2018
- “Style2Paints GitHub Repository”, Zhang et al 2018
- “Teaching Computers to Spot Naughty Ponies”, Butterscotch 2018
- “Two-stage Sketch Colorization”, Zhang et al 2018b
- “Danbooru2021: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset”, Gwern 2015
- “DAF:re/Animesion: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition § Methodology: Data: DAF:re”
- “Reorganizes Danbooru Datasets from Gwern to Be Valid for DeepDanbooru”
- “Pytorch Code for Tagging Danbooru Images: Includes a Pretrained Model for Tagging Danbooru Images. Trained on the Danbooru2019 512×512 SFW Subset to Predict the 6000 Most Common 'Category 0' Tags. Achieves an F2 Score of 0.61 on Hold out Test Set, With a Threshold of 7.9. For More Performance Information See the Test_tagger.ipynb Notebook.”
- “Scripts and Tools for Working With the Danbooru2018 Data Set.”
- “A 'browser' for Viewing Images Associated With Tags. Presents a List of Tags. Selecting a Tag Will Show the First Image With That Tag. Can Cycle through All Images With That Tag. The Browser Is a Simple TKinter Interface and May Be Run on Any Platform With Python 3 Installed.”
- “A Script to Create a SQLite Database from the Danbooru2018 Metadata Files.”
- “Grapeot’s AnimeHeadDetector: An Object Detector for Character Heads in Animes, Based on Yolo V3”
- “Web-based Assist Application for an AI-based Multi-label Image Classification System, Based on KichangKim's DeepDanbooru.”
- “［CEDEC 2020］CreativeAIでキャラを自動生成するミクシィの研究 / [CEDEC 2020] Research on Mixi That Automatically Creates Characters With Creative AI”
- “Danbooru2018 Pytorch Pretrained Models”
- “Iterating on an Idea: On the 17th of August 2019 Myself and Rico Beti Hit the Launch Button Selfie2anime.com. The Week That Followed Was a Whirl Wind of Good and Bad Experiences Technical Experiences With Trying to Scale. I Wanted to Write This Blog to Lay out Some of My Own Experiences and Point out a Few Pitfalls I Had along the Way.”
- “Animating GAnime With StyleGAN: Part 1 - Introducing a Tool for Interacting With Generative Models”
- “1.9 Million Rows of Tag-based Anime Image Metadata”
- “Art and CG Characters Detection Based on Torso Components Using YOLOv5”
- “Explore More Than 300,000 Pieces of Fan Art”
- Sort By Magic
- Miscellaneous
- Link Bibliography
See Also
Links
“Hand-drawn Anime Line Drawing Colorization of Faces With Texture Details”, Akita et al 2023
“Hand-drawn anime line drawing colorization of faces with texture details”
“Semi-supervised Reference-based Sketch Extraction Using a Contrastive Learning Framework”, Seo et al 2023
“Semi-supervised reference-based sketch extraction using a contrastive learning framework”
“High-Quality Synthetic Character Image Extraction via Distortion Recognition”, Sawada et al 2023
“High-Quality Synthetic Character Image Extraction via Distortion Recognition”
“Anime Character Identification and Tag Prediction by Multimodality Modeling: Dataset and Model”, Yi et al 2023
“Anime Character Identification and Tag Prediction by Multimodality Modeling: Dataset and Model”
“Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation”, Wei et al 2023
“Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation”
“DualVAE: Controlling Colors of Generated and Real Images”, Rathakumar et al 2023
“Generalizable Synthetic Image Detection via Language-guided Contrastive Learning”, Wu et al 2023
“Generalizable Synthetic Image Detection via Language-guided Contrastive Learning”
“Generative Model Watermarking Suppressing High-Frequency Artifacts”, Zhang et al 2023
“Generative Model Watermarking Suppressing High-Frequency Artifacts”
“Multi-Label Classification in Anime Illustrations Based on Hierarchical Attribute Relationships”, Lan et al 2023
“Multi-Label Classification in Anime Illustrations Based on Hierarchical Attribute Relationships”
“Diffusart: Enhancing Line Art Colorization With Conditional Diffusion Models”, Carrillo et al 2023
“Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models”
“Hierarchical Multi-Label Attribute Classification With Graph Convolutional Networks on Anime Illustration”, Lan et al 2023
“Parsing-Conditioned Anime Translation: A New Dataset and Method”, Li et al 2023c
“Parsing-Conditioned Anime Translation: A New Dataset and Method”
“Thangka Sketch Colorization Based on Multi-Level Adaptive-Instance-Normalized Color Fusion and Skip Connection Attention”, Li et al 2023
“Two-Step Training: Adjustable Sketch Colorization via Reference Image and Text Tag”, Yan et al 2023
“Two-Step Training: Adjustable Sketch Colorization via Reference Image and Text Tag”
“Reference-based Image Composition With Sketch via Structure-aware Diffusion Model”, Kim et al 2023
“Reference-based Image Composition with Sketch via Structure-aware Diffusion Model”
“KD-DLGAN: Data Limited Image Generation via Knowledge Distillation”, Cui et al 2023
“KD-DLGAN: Data Limited Image Generation via Knowledge Distillation”
“AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models”, Cao et al 2023
“AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models”
“Enhancing Image Representation in Conditional Image Synthesis”, Shim et al 2023
“Enhancing Image Representation in Conditional Image Synthesis”
“FEditNet: Few-shot Editing of Latent Semantics in GAN Spaces”, Xia et al 2023
“FEditNet: few-shot editing of latent semantics in GAN spaces”
“A Novel Model Watermarking for Protecting Generative Adversarial Network”, Qiao et al 2023
“A novel model watermarking for protecting generative adversarial network”
“PMSGAN: Parallel Multistage GANs for Face Image Translation”, Liang et al 2023
“PMSGAN: Parallel Multistage GANs for Face Image Translation”
“Fast Semi-supervised Self-training Algorithm Based on Data Editing”, Li et al 2023
“Fast semi-supervised self-training algorithm based on data editing”
“FAEC-GAN: An Unsupervised Face-to-anime Translation Based on Edge Enhancement and Coordinate Attention”, Lin et al 2023
“DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editings”, Li et al 2023
“DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editings”
“HRInversion: High-Resolution GAN Inversion for Cross-Domain Image Synthesis”, Zhou et al 2022b
“HRInversion: High-Resolution GAN Inversion for Cross-Domain Image Synthesis”
“Appearance-preserved Portrait-to-anime Translation via Proxy-guided Domain Adaptation”, Xiao et al 2022
“Appearance-preserved Portrait-to-anime Translation via Proxy-guided Domain Adaptation”
“Augmenting Conversations With Comic-Style Word Balloons”, Zhang et al 2022
“Dr.3D: Adapting 3D GANs to Artistic Drawings”, Jin et al 2022
“Unsupervised Discovery of Disentangled Interpretable Directions for Layer-Wise GAN”, Hu et al 2022b
“Unsupervised Discovery of Disentangled Interpretable Directions for Layer-Wise GAN”
“DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning”, Dong et al 2022
“DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning”
“A Creative Industry Image Generation Dataset Based on Captions”, Yuejia et al 2022
“A Creative Industry Image Generation Dataset Based on Captions”
“An Analysis: Different Methods about Line Art Colorization”, Gao et al 2022b
“An analysis: different methods about line art colorization”
“Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization”, Cho et al 2022
“GCN-Based Multi-Modal Multi-Label Attribute Classification in Anime Illustration Using Domain-Specific Semantic Features”, Lan et al 2022
“AniWho: A Quick and Accurate Way to Classify Anime Character Faces in Images”, Naftali et al 2022
“AniWho: A Quick and Accurate Way to Classify Anime Character Faces in Images”
“Generalizing Factorization of GANs by Characterizing Convolutional Layers”, Wang et al 2022b
“Generalizing Factorization of GANs by Characterizing Convolutional Layers”
“Collaborative Neural Rendering Using Anime Character Sheets”, Lin et al 2022
“Collaborative Neural Rendering using Anime Character Sheets”
“Anime Character Recognition Using Intermediate Features Aggregation”, Rios et al 2022
“Anime Character Recognition using Intermediate Features Aggregation”
“Pastiche Master (DualStyleGAN): Exemplar-Based High-Resolution Portrait Style Transfer”, Yang et al 2022
“Pastiche Master (DualStyleGAN): Exemplar-Based High-Resolution Portrait Style Transfer”
“DualStyleGAN: Official PyTorch Implementation for "Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer"”, Yang et al 2022
“Classify and Generate: Using Classification Latent Space Representations for Image Generations”, Gopalakrishnan et al 2022
“Classify and generate: Using classification latent space representations for image generations”
“Pro-PULSE: Learning Progressive Encoders of Latent Semantics in GANs for Photo Upsampling”, Zhou et al 2022
“Pro-PULSE: Learning Progressive Encoders of Latent Semantics in GANs for Photo Upsampling”
“Image Quality Assessment Using Synthetic Images”, Madhusudana et al 2022
“Late-Resizing: A Simple but Effective Sketch Extraction Strategy for Improving Generalization of Line-Art Colorization”, Kim et al 2022b
“Passive Non-Line-of-Sight Imaging Using Optimal Transport”, Geng et al 2021
“Deceive D: Adaptive Pseudo Augmentation for GAN Training With Limited Data”, Jiang et al 2021
“Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data”
“3D Modeling Design of Multirole Virtual Character Based on Visual Communication in Wireless Sensor Networks”, Qu & Li 2021
“Unsupervised Learning of Compositional Energy Concepts”, Du et al 2021
“StyleGAN of All Trades: Image Manipulation With Only Pretrained StyleGAN”, Chong et al 2021
“StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN”
“Fine-Grained Control of Artistic Styles in Image Generation”, Miao et al 2021
“Fine-Grained Control of Artistic Styles in Image Generation”
“Evaluating Loss Functions for Illustration Super-Resolution Neural Networks”, Nepomuceno & Silva 2021
“Evaluating Loss Functions for Illustration Super-Resolution Neural Networks”
“SmartShadow: Artistic Shadow Drawing Tool for Line Drawings”, Zhang et al 2021
“SmartShadow: Artistic Shadow Drawing Tool for Line Drawings”
“Generative Probabilistic Image Colorization”, Furusawa et al 2021
“Unaligned Image-to-Image Translation by Learning to Reweight”, Xie et al 2021
“Unaligned Image-to-Image Translation by Learning to Reweight”
“Line Art Colorization Based on Explicit Region Segmentation”, Cao et al 2021
“Line Art Colorization Based on Explicit Region Segmentation”
“DP-LaSE: Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations”, Li et al 2021b
“Transfer Learning for Pose Estimation of Illustrated Characters”, Chen & Zwicker 2021
“Transfer Learning for Pose Estimation of Illustrated Characters”
“Graph Jigsaw Learning for Cartoon Face Recognition”, Li et al 2021
“Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects”, Kim et al 2021
“Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects”
“Hide Chopin in the Music: Efficient Information Steganography Via Random Shuffling”, Sun et al 2021
“Hide Chopin in the Music: Efficient Information Steganography Via Random Shuffling”
“User-Guided Line Art Flat Filling With Split Filling Mechanism”, Zhang et al 2021
“User-Guided Line Art Flat Filling With Split Filling Mechanism”
“AdvStyle: Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes”, Yang et al 2021
“AdvStyle: Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes”
“Generating Manga from Illustrations via Mimicking Manga Workflow”, Zhang et al 2021
“Generating Manga from Illustrations via Mimicking Manga Workflow”
“MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains”, Wang et al 2021
“MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains”
“EigenGAN: Layer-Wise Eigen-Learning for GANs”, He et al 2021
“Cross-Domain and Disentangled Face Manipulation With 3D Guidance”, Wang et al 2021
“Cross-Domain and Disentangled Face Manipulation with 3D Guidance”
“Line Art Colorization With Concatenated Spatial Attention”, Yuan & Simo-Serra 2021
“CómicGAN: Generación De Ilustraciones Con Redes GAN De Crecimiento Progresivo”, Hernández 2021
“CómicGAN: Generación de ilustraciones con redes GAN de crecimiento progresivo”
“Few-shot Semantic Image Synthesis Using StyleGAN Prior”, Endo & Kanamori 2021
“AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation”, Li et al 2021
“AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation”
“Hiding Data Hiding”, Wu et al 2021
“Danbooru 2020 Zero-shot Anime Character Identification Dataset (ZACI-20)”, Akimoto 2021
“Danbooru 2020 Zero-shot Anime Character Identification Dataset (ZACI-20)”
“DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition”, Rios et al 2021
“Scoring Images from TADNE With CLIP”, nagolinc 2021
“This Anime Does Not Exist.ai (TADNE)”, Nearcyan et al 2021
“Stylized-Colorization for Line Arts”, Fang et al 2021
“Semi-automatic Manga Colorization Using Conditional Adversarial Networks”, Golyadkin & Makarov 2021
“Semi-automatic Manga Colorization Using Conditional Adversarial Networks”
“Data Instance Prior for Transfer Learning in GANs”, Mangla et al 2020
“LDM: Automatic Colorization of Anime Style Illustrations Using a Two-Stage Generator”, Lee & Lee 2020
“LDM: Automatic Colorization of Anime Style Illustrations Using a Two-Stage Generator”
“Automatic Colorization of High-resolution Animation Style Line-art Based on Frequency Separation and Two-Stage Generator”, Lee & Lee 2020b
“Colorization of Line Drawings With Empty Pupils”, Akita et al 2020b
“Network-to-Network Translation With Conditional Invertible Neural Networks”, Rombach et al 2020
“Network-to-Network Translation with Conditional Invertible Neural Networks”
“Few-Shot Adaptation of Generative Adversarial Networks”, Robb et al 2020
“Watermarking Neural Networks With Watermarked Images”, Wu et al 2020
“Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network”, Huang et al 2020
“Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network”
“Deep Learning-based Classification of the Polar Emotions of ‘moe’-style Cartoon Pictures”, Cao et al 2020b
“Deep learning-based classification of the polar emotions of ‘moe’-style cartoon pictures”
“RegDeepDanbooru: Yet Another Deep Danbooru Project”, zyddnys 2020
“Yet-Another-Anime-Segmenter”, zymk9 2020
“Unconstrained Text Detection in Manga”, Gobbo & Herrera 2020
“Learning from the Past: Meta-Continual Learning With Knowledge Embedding for Jointly Sketch, Cartoon, and Caricature Face Recognition”, Zheng et al 2020b
“A Good Image Generator Is What You Need for High-Resolution Video Synthesis”, Tian et al 2020
“A Good Image Generator Is What You Need for High-Resolution Video Synthesis”
“Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis”, Anonymous 2020
“Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis”
“Demonstrating That Dataset Domains Are Largely Linearly Separable in the Feature Space of Common CNNs”, Dragan 2020
“SickZil-Machine (SZMC): A Deep Learning Based Script Text Isolation System for Comics Translation”, Ko & Cho 2020
“SickZil-Machine (SZMC): A Deep Learning Based Script Text Isolation System for Comics Translation”
“Closed-Form Factorization of Latent Semantics in GANs”, Shen & Zhou 2020
“Multi-Density Sketch-to-Image Translation Network”, Huang et al 2020
“System for Searching Illustrations of Anime Characters Focusing on Degrees of Character Attributes”, Koyama et al 2020
“System for searching illustrations of anime characters focusing on degrees of character attributes”
“Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence”, Lee et al 2020
“Anime Crop Datasets: Faces, Figures, & Hands”, Branwen et al 2020
“MakeItTalk: Speaker-Aware Talking-Head Animation”, Zhou et al 2020
“Classification Representations Can Be Reused for Downstream Generations”, Gopalakrishnan et al 2020
“Classification Representations Can be Reused for Downstream Generations”
“Avatar Artist Using GAN [CS230]”, Su & Fang 2020
“Designing Network Design Spaces”, Radosavovic et al 2020
“Training Effective Model for Real-Time Detection of NSFW Photos and Drawings”, Zhelonkin & Karpov 2020
“Training Effective Model for Real-Time Detection of NSFW Photos and Drawings”
“Deep-Eyes: Fully Automatic Anime Character Colorization With Painting of Details on Empty Pupils”, Akita et al 2020
“Deep-Eyes: Fully Automatic Anime Character Colorization with Painting of Details on Empty Pupils”
“GochiUsa Faces, A Dataset For Anime Faces”, Rignak 2020
“MineGAN: Effective Knowledge Transfer from GANs to Target Domains With Few Images”, Wang et al 2019
“MineGAN: effective knowledge transfer from GANs to target domains with few images”
“Interactive Anime Sketch Colorization With Style Consistency via a Deep Residual Neural Network”, Ye et al 2019
“Interactive Anime Sketch Colorization with Style Consistency via a Deep Residual Neural Network”
“Unpaired Sketch-to-Line Translation via Synthesis of Sketches”, Lee et al 2019b
“Unpaired Sketch-to-Line Translation via Synthesis of Sketches”
“CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator”, Chen et al 2019
“CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator”
“Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination”, Soh et al 2019
“Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination”
“Semantic Example Guided Image-to-Image Translation”, Huang et al 2019
“Artbreeder”, Simon 2019
“Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss”, Kim et al 2019
“Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss”
“Anime Sketch Coloring With Swish-gated Residual U-net and Spectrally Normalized GAN (SSN-GAN)”, Liu et al 2019
“Anime Sketch Coloring with Swish-gated Residual U-net and Spectrally Normalized GAN (SSN-GAN)”
“U-GAT-IT: Unsupervised Generative Attentional Networks With Adaptive Layer-Instance Normalization for Image-to-Image Translation”, Kim et al 2019
“How We Built the Waifu Vending Machine”, Studios 2019
“Waifu Labs”, Studios 2019
“SAN: Second-Order Attention Network for Single Image Super-Resolution”, Dai et al 2019
“SAN: Second-Order Attention Network for Single Image Super-Resolution”
“Disentangling Style and Content in Anime Illustrations”, Xiang & Li 2019
“LFFD: A Light and Fast Face Detector for Edge Devices”, He et al 2019
“Image Generation From Small Datasets via Batch Statistics Adaptation”, Noguchi & Harada 2019
“Image Generation From Small Datasets via Batch Statistics Adaptation”
“ThisWaifuDoesNotExist.net”, Branwen 2019
“This Waifu Does Not Exist”, Gwern 2019
“Anime Neural Net Graveyard”, Gwern 2019
“Making Anime Faces With StyleGAN”, Gwern 2019
“Making Anime With BigGAN”, Gwern 2019
“Spatially Controllable Image Synthesis With Internal Representation Collaging”, Suzuki et al 2018
“Spatially Controllable Image Synthesis with Internal Representation Collaging”
“Improving Shape Deformation in Unsupervised Image-to-Image Translation”, Gokaslan et al 2018
“Improving Shape Deformation in Unsupervised Image-to-Image Translation”
“Style2Paints GitHub Repository”, Zhang et al 2018
“Teaching Computers to Spot Naughty Ponies”, Butterscotch 2018
“Two-stage Sketch Colorization”, Zhang et al 2018b
“Danbooru2021: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset”, Gwern 2015
“Danbooru2021: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset”
“DAF:re/Animesion: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition § Methodology: Data: DAF:re”
“Reorganizes Danbooru Datasets from Gwern to Be Valid for DeepDanbooru”
“Reorganizes Danbooru Datasets from Gwern to be valid for DeepDanbooru”
“Pytorch Code for Tagging Danbooru Images: Includes a Pretrained Model for Tagging Danbooru Images. Trained on the Danbooru2019 512×512 SFW Subset to Predict the 6000 Most Common 'Category 0' Tags. Achieves an F2 Score of 0.61 on Hold out Test Set, With a Threshold of 7.9. For More Performance Information See the Test_tagger.ipynb Notebook.”
“Scripts and Tools for Working With the Danbooru2018 Data Set.”
“Scripts and tools for working with the Danbooru2018 data set.”
“A 'browser' for Viewing Images Associated With Tags. Presents a List of Tags. Selecting a Tag Will Show the First Image With That Tag. Can Cycle through All Images With That Tag. The Browser Is a Simple TKinter Interface and May Be Run on Any Platform With Python 3 Installed.”
“A Script to Create a SQLite Database from the Danbooru2018 Metadata Files.”
“A script to create a SQLite database from the Danbooru2018 metadata files.”
“Grapeot’s AnimeHeadDetector: An Object Detector for Character Heads in Animes, Based on Yolo V3”
“grapeot’s AnimeHeadDetector: An object detector for character heads in animes, based on Yolo V3”
“Web-based Assist Application for an AI-based Multi-label Image Classification System, Based on KichangKim's DeepDanbooru.”
“［CEDEC 2020］CreativeAIでキャラを自動生成するミクシィの研究 / [CEDEC 2020] Research on Mixi That Automatically Creates Characters With Creative AI”
“Danbooru2018 Pytorch Pretrained Models”
“Iterating on an Idea: On the 17th of August 2019 Myself and Rico Beti Hit the Launch Button Selfie2anime.com. The Week That Followed Was a Whirl Wind of Good and Bad Experiences Technical Experiences With Trying to Scale. I Wanted to Write This Blog to Lay out Some of My Own Experiences and Point out a Few Pitfalls I Had along the Way.”
“Animating GAnime With StyleGAN: Part 1 - Introducing a Tool for Interacting With Generative Models”
“Animating gAnime with StyleGAN: Part 1 - Introducing a tool for interacting with generative models”
“1.9 Million Rows of Tag-based Anime Image Metadata”
“Art and CG Characters Detection Based on Torso Components Using YOLOv5”
“Art and CG characters detection based on torso components using YOLOv5”
“Explore More Than 300,000 Pieces of Fan Art”
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.
anime-colorization
anime-style-transfer
anime-generation
Miscellaneous
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/doc/ai/anime/danbooru/2021-li-dplase-ganlatentspaceeditingvideo.mp4 -
/doc/ai/anime/danbooru/2020-09-05-gwern-twdne-v3.5-gpt3snippets.tar.xz -
/doc/ai/anime/danbooru/2020-06-08-danbooru2019-palm-handannotations-export.jsonl -
/doc/ai/anime/danbooru/2020-05-31-danbooru2019-palm-handannotations-export.jsonl -
/doc/ai/anime/danbooru/2019-02-28-thiswaifudoesnotexist-textsnippets.tar.xz -
/doc/ai/anime/danbooru/2019-02-11-stylegan-asuka-handselectedsamples.zip -
/doc/ai/anime/danbooru/2019-02-10-stylegan-holo-handselectedsamples.zip -
/doc/ai/anime/danbooru/2018-09-22-progan-holofaces-topdecile.tar.xz -
https://github.com/grapeot/Danbooru2018AnimeCharacterRecognitionDataset -
https://github.com/yu45020/Text_Segmentation_Image_Inpainting -
https://huggingface.co/Ryukijano/CatCon-Controlnet-WD-1-5-b2R -
https://huggingface.co/datasets/KBlueLeaf/Danbooru2021-SQLite -
https://journals.sagepub.com/doi/pdf/10.1177/2056305119880020 -
https://lxj616.github.io/jekyll/update/2022/05/14/rethinking-the-danbooru-2021-dataset.html -
https://web.archive.org/web/20200920025857/https://github.com/SawabeMaho/pix2pix -
https://www.nayuki.io/page/designing-better-file-organization-around-tags-not-hierarchies -
https://www.reddit.com/r/AnimeResearch/comments/rszjfn/nfnet_a_l%C3%A0_deepdanbooru/ -
https://www.reddit.com/r/MachineLearning/comments/akbc11/p_tag_estimation_for_animestyle_girl_image/
Link Bibliography
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2023-yi.pdf: “Anime Character Identification and Tag Prediction by Multimodality Modeling: Dataset and Model”, Fan Yi, Jiaxiang Wu, Minyi Zhao, Shuigeng Zhou -
https://ieeexplore.ieee.org/abstract/document/10097719: “Hierarchical Multi-Label Attribute Classification With Graph Convolutional Networks on Anime Illustration”, Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama -
2023-qiao.pdf: “A Novel Model Watermarking for Protecting Generative Adversarial Network”, Tong Qiao, Yuyan Ma, Ning Zheng, Hanzhou Wu, Yanli Chen, Ming Xu, Xiangyang Luo -
2022-lan.pdf: “GCN-Based Multi-Modal Multi-Label Attribute Classification in Anime Illustration Using Domain-Specific Semantic Features”, Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama -
https://arxiv.org/abs/2208.11012: “AniWho: A Quick and Accurate Way to Classify Anime Character Faces in Images”, Martinus Grady Naftali, Jason Sebastian Sulistyawan, Kelvin Julian, Felix Indra Kurniadi -
2022-wang-2.pdf: “Generalizing Factorization of GANs by Characterizing Convolutional Layers”, Yuehui Wang, Qing Wang, Dongyu Zhang -
2022-rios.pdf: “Anime Character Recognition Using Intermediate Features Aggregation”, Edwin Arkel Rios, Min-Chun Hu, Bo-Cheng Lai -
https://github.com/williamyang1991/DualStyleGAN: “DualStyleGAN: Official PyTorch Implementation for "Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer"”, Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy -
2022-kim-2.pdf: “Late-Resizing: A Simple but Effective Sketch Extraction Strategy for Improving Generalization of Line-Art Colorization”, Dohyun Kim, Dajung Je, Kwangjin Lee, Moohyun Kim, Han Kim -
https://lllyasviel.github.io/MangaFilter/: “Generating Manga from Illustrations via Mimicking Manga Workflow”, Lvmin Zhang, Xinrui Wang, Qingnan Fan, Yi Ji, Chunping Liu -
https://arxiv.org/abs/2104.13742: “MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains”, Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Joost van de Weijer -
https://github.com/kosuke1701/ZACI-20-dataset: “2020 Zero-shot Anime Character Identification Dataset (ZACI-20)”, Kosuke Akimoto -
https://arxiv.org/abs/2101.08674: “DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition”, Edwin Arkel Rios, Wen-Huang Cheng, Bo-Cheng Lai -
https://github.com/nagolinc/notebooks/blob/main/TADNE_and_CLIP.ipynb: “Scoring Images from TADNE With CLIP”, nagolinc -
https://thisanimedoesnotexist.ai/: “This Anime Does Not Exist.ai (TADNE)”, Nearcyan, Aydao, Shawn Presser, Gwern Branwen -
https://papers.nips.cc/paper/2020/file/1cfa81af29c6f2d8cacb44921722e753-Paper.pdf: “Network-to-Network Translation With Conditional Invertible Neural Networks”, Robin Rombach, Patrick Esser, Björn Omme -
https://github.com/zymk9/Yet-Another-Anime-Segmenter: “Yet-Another-Anime-Segmenter”, zymk9 -
crop: “Anime Crop Datasets: Faces, Figures, & Hands”, Gwern Branwen, Arfafax, Shawn Presser, Anonymous, Danbooru Community -
https://www.artbreeder.com/: “Artbreeder”, Joel Simon -
https://waifulabs.com/: “Waifu Labs”, Sizigi Studios -
https://arxiv.org/abs/1904.01774: “Image Generation From Small Datasets via Batch Statistics Adaptation”, Atsuhiro Noguchi, Tatsuya Harada -
https://www.thiswaifudoesnotexist.net/: “ThisWaifuDoesNotExist.net”, Gwern Branwen -
twdne: “This Waifu Does Not Exist”, Gwern -
face-graveyard: “Anime Neural Net Graveyard”, Gwern -
face: “Making Anime Faces With StyleGAN”, Gwern -
biggan: “Making Anime With BigGAN”, Gwern -
danbooru2021: “Danbooru2021: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset”, Gwern