Danbooru2021: A Large-Scale Crowdsourced & Tagged Anime Illustration Dataset
CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation
Generating Diverse and Reliable Features for Few-Shot Learning
ImagiNet: A Multi-Content Dataset for Generalizable Synthetic Image Detection via Contrastive Learning
Three-Dimension Animation Character Design Based on Probability Genetic Algorithm
Global-Local Similarity for Efficient Fine-Grained Image Recognition with Vision Transformers
Towards Generated Image Provenance Analysis Via Conceptual-Similar-Guided-SLIP Retrieval
Sketch2Manga: Shaded Manga Screening from Sketch with Diffusion Models
CartoonizeDiff: Diffusion-Based Photo Cartoonization Scheme
Bridging the Gap: Sketch to Color Diffusion Model with Semantic Prompt Learning
Re:Draw—Context Aware Translation as a Controllable Method for Artistic Production
Applying Conditional Information in Guiding Diffusion-Based method for Anime-Style Face Drawing
Machine Learning for Anime: Illustration, Animation, and 3D Characters
Multi visual feature fusion based fog visibility estimation for expressway surveillance using deep learning network
DreamTuner: Single Image is Enough for Subject-Driven Generation
Retrieving Conditions from Reference Images for Diffusion Models
Optimal transport-based unsupervised semantic disentanglement: A novel approach for efficient image editing in GANs
Application of Generative Adversarial Networks in Color Art Image Shadow Generation
FlatGAN: A Holistic Approach for Robust Flat-Coloring in High-Definition with Understanding Line Discontinuity
One-for-All: Towards Universal Domain Translation with a Single StyleGAN
The Colorization Based on Self-Attention Mechanism and GAN
Hand-drawn anime line drawing colorization of faces with texture details
Semi-supervised reference-based sketch extraction using a contrastive learning framework
High-Quality Synthetic Character Image Extraction via Distortion Recognition
Anime Character Identification and Tag Prediction by Multimodality Modeling: Dataset and Model
Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation
Generalizable Synthetic Image Detection via Language-guided Contrastive Learning
Generative Model Watermarking Suppressing High-Frequency Artifacts
Multi-Label Classification in Anime Illustrations Based on Hierarchical Attribute Relationships
Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models
Parsing-Conditioned Anime Translation: A New Dataset and Method
Hierarchical Multi-Label Attribute Classification With Graph Convolutional Networks on Anime Illustration
Thangka Sketch Colorization Based on Multi-Level Adaptive-Instance-Normalized Color Fusion and Skip Connection Attention
Two-Step Training: Adjustable Sketch Colorization via Reference Image and Text Tag
Reference-based Image Composition with Sketch via Structure-aware Diffusion Model
KD-DLGAN: Data Limited Image Generation via Knowledge Distillation
Enhancing Image Representation in Conditional Image Synthesis
FEditNet: few-shot editing of latent semantics in GAN spaces
A novel model watermarking for protecting generative adversarial network
PMSGAN: Parallel Multistage GANs for Face Image Translation
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
DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editings
HRInversion: High-Resolution GAN Inversion for Cross-Domain Image Synthesis
Appearance-preserved Portrait-to-anime Translation via Proxy-guided Domain Adaptation
Unsupervised Discovery of Disentangled Interpretable Directions for Layer-Wise GAN
DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning
A Creative Industry Image Generation Dataset Based on Captions
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
GCN-Based Multi-Modal Multi-Label Attribute Classification in Anime Illustration Using Domain-Specific Semantic Features
AniWho: A Quick and Accurate Way to Classify Anime Character Faces in Images
Generalizing Factorization of GANs by Characterizing Convolutional Layers
Collaborative Neural Rendering using Anime Character Sheets
Anime Character Recognition using Intermediate Features Aggregation
Pastiche Master (DualStyleGAN): Exemplar-Based High-Resolution Portrait Style Transfer
DualStyleGAN: Official PyTorch Implementation for "Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer"
Classify and generate: Using classification latent space representations for image generations
Pro-PULSE: Learning Progressive Encoders of Latent Semantics in GANs for Photo Upsampling
Late-Resizing: A Simple but Effective Sketch Extraction Strategy for Improving Generalization of Line-Art Colorization
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
StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN
Fine-Grained Control of Artistic Styles in Image Generation
Evaluating Loss Functions for Illustration Super-Resolution Neural Networks
SmartShadow: Artistic Shadow Drawing Tool for Line Drawings
Unaligned Image-to-Image Translation by Learning to Reweight
Line Art Colorization Based on Explicit Region Segmentation
DP-LaSE: Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations
Transfer Learning for Pose Estimation of Illustrated Characters
Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects
Hide Chopin in the Music: Efficient Information Steganography Via Random Shuffling
Generating Manga from Illustrations via Mimicking Manga Workflow
AdvStyle: Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes
User-Guided Line Art Flat Filling With Split Filling Mechanism
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains
Cross-Domain and Disentangled Face Manipulation with 3D Guidance
CómicGAN: Generación de ilustraciones con redes GAN de crecimiento progresivo
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation
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
Semi-automatic Manga Colorization Using Conditional Adversarial Networks
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
Network-to-Network Translation with Conditional Invertible Neural Networks
Deep learning-based classification of the polar emotions of ‘moe’-style cartoon pictures
Unsupervised Image-to-Image Translation via Pre-trained StyleGAN-2 Network
Learning from the Past: Meta-Continual Learning with Knowledge Embedding for Jointly Sketch, Cartoon, and Caricature Face Recognition
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
A Good Image Generator Is What You Need for High-Resolution Video Synthesis
Demonstrating that dataset domains are largely linearly separable in the feature space of common CNNs
SickZil-Machine (SZMC): A Deep Learning Based Script Text Isolation System for Comics Translation
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
Classification Representations Can be Reused for Downstream Generations
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
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
Unpaired Sketch-to-Line Translation via Synthesis of Sketches
CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination
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)
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
SAN: Second-Order Attention Network for Single Image Super-Resolution
Image Generation From Small Datasets via Batch Statistics Adaptation
Spatially Controllable Image Synthesis with Internal Representation Collaging
Improving Shape Deformation in Unsupervised Image-to-Image Translation
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
Helper Scripts to Download Images With Specific Tags from the Danbooru Dataset
AI Based Multi-Label Girl Image Classification System, Implemented by Using TensorFlow
SmilingWolf/SW-CV-ModelZoo: Repo for My Tensorflow/Keras CV Experiments. Mostly Revolving around the Danbooru20xx Dataset
Pytorch Implementation of Natural and Realistic Single Image Super-Resolution
Yukariin/SAN_pytorch: Second-Order Attention Network for Single Image Super-Resolution (CVPR-2019)
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.
For Holding Anime-Related Object Classification and Detection Models
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss
A Fast and Light-Weighted Anime Face Detection Based on LFFD.
Gender Separation and Face Extraction from SFW Danbooru Dataset
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
Danbooru2018AnimeCharacterRecognitionDataset: An Open Source Dataset Based on Danbooru2018 Dataset to Do Anime Character Recognition, With 1M Images and 70k Characters.
Scripts to Calculate Interest Regions for Tags for the DeepDanbooru Tagger Model
Twin-GAN: Unpaired Cross-Domain Image Translation With Weight-Sharing GANs
Kevinlyu/DCGAN_Pytorch: DCGAN With Vanilla GAN and Least Square GAN Objective
Lllyasviel/sketchKeras: an U-Net With Some Algorithm to Take Sketch from Paints
High-Resolution Image Synthesis With Latent Diffusion Models
Nagadomi/lbpcascade_animeface: A Face Detector for Anime/manga Using OpenCV
Nolan-Dev/GANInterface: Tool to Interface With a StyleGAN Model
Finding a Panel inside a Comic Page Is the Hardest Thing I'Ve Ever Done in Computer Science!
A Faster-RCNN Based Anime Face Detector Implementation Using Tensorflow
Web-Based Assist Application for an AI-Based Multi-Label Image Classification System, Based on KichangKim's DeepDanbooru.
Official Tensorflow Implementation of U-GAT-IT: Unsupervised Generative Attentional Networks With Adaptive Layer-Instance Normalization for Image-To-Image Translation (ICLR 2020)
［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
Keypoint Based Anime Generation With Additional CLIP Guided Tuning
A Closer Look Into The Latent-Diffusion Repo, Do Better Than Just Looking
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
Art and CG Characters Detection Based on Torso Components Using YOLOv5
2022-yang-dualstylegan-examplesofcaricatureanimepixarcomiccartoonportraitedits.jpg
https://escholarship.org/content/qt66w654x7/qt66w654x7.pdf
https://github.com/dobrosketchkun/yet_another_stable_diffusion_webui_scripts_repository/tree/main/stand-alone_scripts/random_tags_prompt
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://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/
ImagiNet: A Multi-Content Dataset for Generalizable Synthetic Image Detection via Contrastive Learning
Optimal transport-based unsupervised semantic disentanglement: A novel approach for efficient image editing in GANs
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%252Fdoc%252Fai%252Fanime%252Fdanbooru%252F2023-chen.pdf.html
Anime Character Identification and Tag Prediction by Multimodality Modeling: Dataset and Model
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Hierarchical Multi-Label Attribute Classification With Graph Convolutional Networks on Anime Illustration
https%253A%252F%252Fieeexplore.ieee.org%252Fabstract%252Fdocument%252F10097719.html
A novel model watermarking for protecting generative adversarial network
%252Fdoc%252Fai%252Fnn%252Fgan%252Fstylegan%252Fprogan%252F2023-qiao.pdf.html
GCN-Based Multi-Modal Multi-Label Attribute Classification in Anime Illustration Using Domain-Specific Semantic Features
%252Fdoc%252Fai%252Fanime%252Fdanbooru%252F2022-lan.pdf.html
AniWho: A Quick and Accurate Way to Classify Anime Character Faces in Images
Generalizing Factorization of GANs by Characterizing Convolutional Layers
%252Fdoc%252Fai%252Fnn%252Fgan%252Fbiggan%252F2022-wang-2.pdf.html
Anime Character Recognition using Intermediate Features Aggregation
%252Fdoc%252Fai%252Fanime%252Fdanbooru%252F2022-rios.pdf.html
DualStyleGAN: Official PyTorch Implementation for "Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer"
https%253A%252F%252Fgithub.com%252Fwilliamyang1991%252FDualStyleGAN.html
Late-Resizing: A Simple but Effective Sketch Extraction Strategy for Improving Generalization of Line-Art Colorization
%252Fdoc%252Fai%252Fanime%252Fdanbooru%252F2022-kim-2.pdf.html
Generating Manga from Illustrations via Mimicking Manga Workflow
https%253A%252F%252Flllyasviel.github.io%252FMangaFilter%252F.html
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains
Danbooru 2020 Zero-shot Anime Character Identification Dataset (ZACI-20)
https%253A%252F%252Fgithub.com%252Fkosuke1701%252FZACI-20-dataset.html
DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition
https%253A%252F%252Fgithub.com%252Fnagolinc%252Fnotebooks%252Fblob%252Fmain%252FTADNE_and_CLIP.ipynb.html
Network-to-Network Translation with Conditional Invertible Neural Networks
https%253A%252F%252Fpapers.nips.cc%252Fpaper%252F2020%252Ffile%252F1cfa81af29c6f2d8cacb44921722e753-Paper.pdf.html
https%253A%252F%252Fgithub.com%252Fzymk9%252FYet-Another-Anime-Segmenter.html
Image Generation From Small Datasets via Batch Statistics Adaptation
Wikipedia Bibliography:
