- See Also
- Gwern
-
Links
- “CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation”, Xu et al 2024
- “Generating Diverse and Reliable Features for Few-Shot Learning”, Xu 2024b
- “ImagiNet: A Multi-Content Dataset for Generalizable Synthetic Image Detection via Contrastive Learning”, Boychev & Cholakov 2024
- “Three-Dimension Animation Character Design Based on Probability Genetic Algorithm”, Gao 2024
- “Global-Local Similarity for Efficient Fine-Grained Image Recognition With Vision Transformers”, Rios et al 2024
- “Towards Generated Image Provenance Analysis Via Conceptual-Similar-Guided-SLIP Retrieval”, Xia et al 2024
- “Sketch2Manga: Shaded Manga Screening from Sketch With Diffusion Models”, Lin et al 2024
- “CartoonizeDiff: Diffusion-Based Photo Cartoonization Scheme”, Jeon et al 2024
- “AnimeDiffusion: Anime Diffusion Colorization”, Cao et al 2024
- “Bridging the Gap: Sketch to Color Diffusion Model With Semantic Prompt Learning”, Wang et al 2024
- “Re:Draw—Context Aware Translation As a Controllable Method for Artistic Production”, Cardoso et al 2024
- “Machine Learning for Anime: Illustration, Animation, and 3D Characters”, Chen 2024
- “Multi Visual Feature Fusion Based Fog Visibility Estimation for Expressway Surveillance Using Deep Learning Network”, Yang et al 2023
- “DreamTuner: Single Image Is Enough for Subject-Driven Generation”, Hua et al 2023
- “Retrieving Conditions from Reference Images for Diffusion Models”, Tang et al 2023
- “Optimal Transport-Based Unsupervised Semantic Disentanglement: A Novel Approach for Efficient Image Editing in GANs”, Liu et al 2023d
- “Application of Generative Adversarial Networks in Color Art Image Shadow Generation”, Wu et al 2023
- “Controllable Feature-Preserving Style Transfer”, Chen et al 2023
- “Region Assisted Sketch Colorization”, Wang et al 2023e
- “FlatGAN: A Holistic Approach for Robust Flat-Coloring in High-Definition With Understanding Line Discontinuity”, Kim et al 2023
- “One-For-All: Towards Universal Domain Translation With a Single StyleGAN”, Du et al 2023
- “The Colorization Based on Self-Attention Mechanism and GAN”, Sun et al 2023
- “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
- “Parsing-Conditioned Anime Translation: A New Dataset and Method”, Li et al 2023c
- “Hierarchical Multi-Label Attribute Classification With Graph Convolutional Networks on Anime Illustration”, Lan et al 2023
- “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
- “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
- “Late-Resizing: A Simple but Effective Sketch Extraction Strategy for Improving Generalization of Line-Art Colorization”, Kim et al 2022b
- “Image Quality Assessment Using Synthetic Images”, Madhusudana et al 2022
- “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
- “Generating Manga from Illustrations via Mimicking Manga Workflow”, Zhang et al 2021
- “AdvStyle: Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes”, Yang et al 2021
- “User-Guided Line Art Flat Filling With Split Filling Mechanism”, 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
- “Few-Shot Adaptation of Generative Adversarial Networks”, Robb et al 2020
- “Network-To-Network Translation With Conditional Invertible Neural Networks”, Rombach et al 2020
- “Watermarking Neural Networks With Watermarked Images”, Wu et al 2020
- “Deep Learning-Based Classification of the Polar Emotions of ‘Moe’-Style Cartoon Pictures”, Cao et al 2020b
- “Unsupervised Image-To-Image Translation via Pre-Trained StyleGAN2 Network”, Huang et al 2020
- “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
- “Towards Faster and Stabilized GAN Training for High-Fidelity Few-Shot Image Synthesis”, Anonymous 2020
- “A Good Image Generator Is What You Need for High-Resolution Video Synthesis”, Tian et al 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”, Gwern 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
- “Waifu Labs”, Studios 2019
- “How We Built the Waifu Vending Machine”, 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
- “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
- “Two-Stage Sketch Colorization”, Zhang et al 2018b
- “Teaching Computers to Spot Naughty Ponies”, Butterscotch 2018
- “Deep Danbooru”
- “DAF:re/Animesion: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition § Methodology: Data: DAF:re”
- “StyleGAN2 512px Trained on Danbooru2019”
- “Reorganizes Danbooru Datasets from Gwern to Be Valid for DeepDanbooru”
- “Helper Scripts to Download Images With Specific Tags from the Danbooru Dataset”
- “Manga/Comics Translation Helper Tool”
- “AI Based Multi-Label Girl Image Classification System, Implemented by Using TensorFlow”
- “Tag2pix GUI Version”
- “Montia/bw2color”
- “Reimplementation of Style2Paints V3”
- “Pretrained Pytorch Models for the Danbooru2018 Dataset”
- “Ahegao Datasets from Danbooru2020”
- “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.”
- “V Objective Diffusion Inference Code for JAX.”
- “Anime Artist”
- “Generate Your Waifu With StyleGAN, Stylegan老婆生成器”
- “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.”
- “The JoyTag Image Tagging Model”
- “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”
- “Anime Face Detector Using Mmdet and Mmpose”
- “A Faster-Rcnn Model for Anime Character Segmentation.”
- “Twin-GAN: Unpaired Cross-Domain Image Translation With Weight-Sharing GANs”
- “Kevinlyu/DCGAN_Pytorch: DCGAN With Vanilla GAN and Least Square GAN Objective”
- “DanbooRegion: An Illustration Region Dataset (ECCV 2020)”
- “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”
- “Reimplementation of Https://arxiv.org/abs/1812.04948”
- “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.”
- “Utility for Working With Danbooru2018 Dataset”
- “Official Tensorflow Implementation of U-GAT-IT: Unsupervised Generative Attentional Networks With Adaptive Layer-Instance Normalization for Image-To-Image Translation (ICLR 2020)”
- “Yu45020/Text_Segmentation_Image_Inpainting”
- “［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”
- “Rethinking The Danbooru 2021 Dataset”
- “A Closer Look Into The Latent-Diffusion Repo, Do Better Than Just Looking”
- “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”
- “SawabeMaho/pix2pix: 基于GAN的黑白漫画自动上色,使用pix2pix模型”
- “1.9 Million Rows of Tag-Based Anime Image Metadata”
- “Explore More Than 300,000 Pieces of Fan Art”
- “Art and CG Characters Detection Based on Torso Components Using YOLOv5”
- “GochiUsa_Faces”
- “Danbooru Sketch Pair 128x”
- Miscellaneous
- Bibliography
See Also
Gwern
“Danbooru2021: A Large-Scale Crowdsourced & Tagged Anime Illustration Dataset”, Gwern 2015
Danbooru2021: A Large-Scale Crowdsourced & Tagged Anime Illustration Dataset
“Making Anime Faces With StyleGAN”, Gwern 2019
“ThisWaifuDoesNotExist.net”, Gwern 2019
“Making Anime With BigGAN”, Gwern 2019
“Anime Neural Net Graveyard”, Gwern 2019
“This Waifu Does Not Exist”, Gwern 2019
Links
“CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation”, Xu et al 2024
CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation
“Generating Diverse and Reliable Features for Few-Shot Learning”, Xu 2024b
Generating Diverse and Reliable Features for Few-Shot Learning
“ImagiNet: A Multi-Content Dataset for Generalizable Synthetic Image Detection via Contrastive Learning”, Boychev & Cholakov 2024
“Three-Dimension Animation Character Design Based on Probability Genetic Algorithm”, Gao 2024
Three-Dimension Animation Character Design Based on Probability Genetic Algorithm
“Global-Local Similarity for Efficient Fine-Grained Image Recognition With Vision Transformers”, Rios et al 2024
Global-Local Similarity for Efficient Fine-Grained Image Recognition with Vision Transformers
“Towards Generated Image Provenance Analysis Via Conceptual-Similar-Guided-SLIP Retrieval”, Xia et al 2024
Towards Generated Image Provenance Analysis Via Conceptual-Similar-Guided-SLIP Retrieval
“Sketch2Manga: Shaded Manga Screening from Sketch With Diffusion Models”, Lin et al 2024
Sketch2Manga: Shaded Manga Screening from Sketch with Diffusion Models
“CartoonizeDiff: Diffusion-Based Photo Cartoonization Scheme”, Jeon et al 2024
“AnimeDiffusion: Anime Diffusion Colorization”, Cao et al 2024
“Bridging the Gap: Sketch to Color Diffusion Model With Semantic Prompt Learning”, Wang et al 2024
Bridging the Gap: Sketch to Color Diffusion Model with Semantic Prompt Learning
“Re:Draw—Context Aware Translation As a Controllable Method for Artistic Production”, Cardoso et al 2024
Re:Draw—Context Aware Translation as a Controllable Method for Artistic Production
“Machine Learning for Anime: Illustration, Animation, and 3D Characters”, Chen 2024
Machine Learning for Anime: Illustration, Animation, and 3D Characters
“Multi Visual Feature Fusion Based Fog Visibility Estimation for Expressway Surveillance Using Deep Learning Network”, Yang et al 2023
“DreamTuner: Single Image Is Enough for Subject-Driven Generation”, Hua et al 2023
DreamTuner: Single Image is Enough for Subject-Driven Generation
“Retrieving Conditions from Reference Images for Diffusion Models”, Tang et al 2023
Retrieving Conditions from Reference Images for Diffusion Models
“Optimal Transport-Based Unsupervised Semantic Disentanglement: A Novel Approach for Efficient Image Editing in GANs”, Liu et al 2023d
“Application of Generative Adversarial Networks in Color Art Image Shadow Generation”, Wu et al 2023
Application of Generative Adversarial Networks in Color Art Image Shadow Generation
“Controllable Feature-Preserving Style Transfer”, Chen et al 2023
“Region Assisted Sketch Colorization”, Wang et al 2023e
Region Assisted Sketch Colorization:
View PDF:
“FlatGAN: A Holistic Approach for Robust Flat-Coloring in High-Definition With Understanding Line Discontinuity”, Kim et al 2023
“One-For-All: Towards Universal Domain Translation With a Single StyleGAN”, Du et al 2023
One-for-All: Towards Universal Domain Translation with a Single StyleGAN
“The Colorization Based on Self-Attention Mechanism and GAN”, Sun et al 2023
“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
“Parsing-Conditioned Anime Translation: A New Dataset and Method”, Li et al 2023c
Parsing-Conditioned Anime Translation: A New Dataset and Method
“Hierarchical Multi-Label Attribute Classification With Graph Convolutional Networks on Anime Illustration”, Lan et al 2023
“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
“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
“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
“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
“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
“Late-Resizing: A Simple but Effective Sketch Extraction Strategy for Improving Generalization of Line-Art Colorization”, Kim et al 2022b
“Image Quality Assessment Using Synthetic Images”, Madhusudana et al 2022
“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
“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
“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
“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
“Generating Manga from Illustrations via Mimicking Manga Workflow”, Zhang et al 2021
Generating Manga from Illustrations via Mimicking Manga Workflow
“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
“User-Guided Line Art Flat Filling With Split Filling Mechanism”, Zhang et al 2021
User-Guided Line Art Flat Filling With Split Filling Mechanism
“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
“Few-Shot Adaptation of Generative Adversarial Networks”, Robb et al 2020
“Network-To-Network Translation With Conditional Invertible Neural Networks”, Rombach et al 2020
Network-to-Network Translation with Conditional Invertible Neural Networks
“Watermarking Neural Networks With Watermarked Images”, Wu et al 2020
“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
“Unsupervised Image-To-Image Translation via Pre-Trained StyleGAN2 Network”, Huang et al 2020
Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network
“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
“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
“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
“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”, Gwern 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
“Waifu Labs”, Studios 2019
“How We Built the Waifu Vending Machine”, 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
“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
“Two-Stage Sketch Colorization”, Zhang et al 2018b
“Teaching Computers to Spot Naughty Ponies”, Butterscotch 2018
“Deep Danbooru”
“DAF:re/Animesion: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition § Methodology: Data: DAF:re”
“StyleGAN2 512px Trained on Danbooru2019”
“Reorganizes Danbooru Datasets from Gwern to Be Valid for DeepDanbooru”
Reorganizes Danbooru Datasets from Gwern to be valid for DeepDanbooru
“Helper Scripts to Download Images With Specific Tags from the Danbooru Dataset”
Helper scripts to download images with specific tags from the Danbooru dataset
“Manga/Comics Translation Helper Tool”
“AI Based Multi-Label Girl Image Classification System, Implemented by Using TensorFlow”
AI based multi-label girl image classification system, implemented by using TensorFlow
“Tag2pix GUI Version”
“Montia/bw2color”
“Reimplementation of Style2Paints V3”
“Pretrained Pytorch Models for the Danbooru2018 Dataset”
“Ahegao Datasets from Danbooru2020”
“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”
Pytorch implementation of Natural and Realistic Single Image Super-Resolution
“Yukariin/SAN_pytorch: Second-Order Attention Network for Single Image Super-Resolution (CVPR-2019)”
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”
For holding anime-related object classification and detection models
“Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss”
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss
“A Fast and Light-Weighted Anime Face Detection Based on LFFD.”
A fast and light-weighted anime face detection based on LFFD.
“V Objective Diffusion Inference Code for JAX.”
“Anime Artist”
“Generate Your Waifu With StyleGAN, Stylegan老婆生成器”
“Gender Separation and Face Extraction from SFW Danbooru Dataset”
Gender separation and face extraction from SFW Danbooru dataset
“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.
“The JoyTag Image Tagging Model”
“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
“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”
Scripts to calculate interest regions for tags for the DeepDanbooru tagger model
“Anime Face Detector Using Mmdet and Mmpose”
“A Faster-Rcnn Model for Anime Character Segmentation.”
“Twin-GAN: Unpaired Cross-Domain Image Translation With Weight-Sharing GANs”
Twin-GAN: Unpaired Cross-Domain Image Translation with Weight-Sharing GANs
“Kevinlyu/DCGAN_Pytorch: DCGAN With Vanilla GAN and Least Square GAN Objective”
kevinlyu/DCGAN_Pytorch: DCGAN with vanilla GAN and Least Square GAN objective
“DanbooRegion: An Illustration Region Dataset (ECCV 2020)”
“Lllyasviel/sketchKeras: an U-Net With Some Algorithm to Take Sketch from Paints”
lllyasviel/sketchKeras: an u-net with some algorithm to take sketch from paints
“High-Resolution Image Synthesis With Latent Diffusion Models”
High-Resolution Image Synthesis with Latent Diffusion Models
“Nagadomi/lbpcascade_animeface: A Face Detector for Anime/manga Using OpenCV”
nagadomi/lbpcascade_animeface: A Face detector for anime/manga using OpenCV
“Nolan-Dev/GANInterface: Tool to Interface With a StyleGAN Model”
nolan-dev/GANInterface: Tool to interface with a StyleGAN model
“Reimplementation of Https://arxiv.org/abs/1812.04948”
“Finding a Panel inside a Comic Page Is the Hardest Thing I'Ve Ever Done in Computer Science!”
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”
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.”
“Utility for Working With Danbooru2018 Dataset”
“Official Tensorflow Implementation of U-GAT-IT: Unsupervised Generative Attentional Networks With Adaptive Layer-Instance Normalization for Image-To-Image Translation (ICLR 2020)”
“Yu45020/Text_Segmentation_Image_Inpainting”
“［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”
Keypoint Based Anime Generation With Additional CLIP Guided Tuning:
“Rethinking The Danbooru 2021 Dataset”
“A Closer Look Into The Latent-Diffusion Repo, Do Better Than Just Looking”
A Closer Look Into The latent-diffusion Repo, Do Better Than Just Looking:
“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
“SawabeMaho/pix2pix: 基于GAN的黑白漫画自动上色,使用pix2pix模型”
“1.9 Million Rows of Tag-Based Anime Image Metadata”
“Explore More Than 300,000 Pieces of Fan Art”
“Art and CG Characters Detection Based on Torso Components Using YOLOv5”
Art and CG characters detection based on torso components using YOLOv5
“GochiUsa_Faces”
“Danbooru Sketch Pair 128x”
Miscellaneous
-
/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 -
/doc/ai/anime/danbooru/gwern-danbooru2020-512px-samples.jpg: -
https://escholarship.org/content/qt66w654x7/qt66w654x7.pdf: -
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/
Bibliography
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https://arxiv.org/abs/2407.20020: “ImagiNet: A Multi-Content Dataset for Generalizable Synthetic Image Detection via Contrastive Learning”, -
2023-liu-4.pdf: “Optimal Transport-Based Unsupervised Semantic Disentanglement: A Novel Approach for Efficient Image Editing in GANs”, -
2023-chen.pdf: “Controllable Feature-Preserving Style Transfer”, -
2023-yi.pdf: “Anime Character Identification and Tag Prediction by Multimodality Modeling: Dataset and Model”, -
https://ieeexplore.ieee.org/abstract/document/10097719: “Hierarchical Multi-Label Attribute Classification With Graph Convolutional Networks on Anime Illustration”, -
2023-qiao.pdf: “A Novel Model Watermarking for Protecting Generative Adversarial Network”, -
2022-lan.pdf: “GCN-Based Multi-Modal Multi-Label Attribute Classification in Anime Illustration Using Domain-Specific Semantic Features”, -
https://arxiv.org/abs/2208.11012: “AniWho: A Quick and Accurate Way to Classify Anime Character Faces in Images”, -
2022-wang-2.pdf: “Generalizing Factorization of GANs by Characterizing Convolutional Layers”, -
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2022-kim-2.pdf: “Late-Resizing: A Simple but Effective Sketch Extraction Strategy for Improving Generalization of Line-Art Colorization”, -
https://lllyasviel.github.io/MangaFilter/: “Generating Manga from Illustrations via Mimicking Manga Workflow”, -
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https://papers.nips.cc/paper/2020/file/1cfa81af29c6f2d8cacb44921722e753-Paper.pdf: “Network-To-Network Translation With Conditional Invertible Neural Networks”, -
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https://arxiv.org/abs/1904.01774: “Image Generation From Small Datasets via Batch Statistics Adaptation”,