“‘Danbooru AI’ Tag”,2019-09-14 (ML dataset, dataset; backlinks)⁠:

Bibliography for tag ai/anime/danbooru, most recent first: 208 annotations & 31 links (parent).

• See Also
• Gwern
  • “Danbooru2021: A Large-Scale Crowdsourced & Tagged Anime Illustration Dataset”, Gwern2015
  • “Making Anime Faces With StyleGAN”, Gwern2019
  • “ThisWaifuDoesNotExist.net”, Gwern2019
  • “Making Anime With BigGAN”, Gwern2019
  • “Anime Neural Net Graveyard”, Gwern2019
  • “This Waifu Does Not Exist”, Gwern2019
• Links
  • “CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation”, Xu et al 2024
  • “Generating Diverse and Reliable Features for Few-Shot Learning”, Xu2024b
  • “ImagiNet: A Multi-Content Dataset for Generalizable Synthetic Image Detection via Contrastive Learning”, Boychev & Cholakov2024
  • “Three-Dimension Animation Character Design Based on Probability Genetic Algorithm”, Gao2024
  • “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
  • “Applying Conditional Information in Guiding Diffusion-Based Method for Anime-Style Face Drawing”, Bảo 2024
  • “Machine Learning for Anime: Illustration, Animation, and 3D Characters”, Chen2024
  • “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 & Li2021
  • “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 & Silva2021
  • “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 & Zwicker2021
  • “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-Serra2021
  • “CómicGAN: Generación De Ilustraciones Con Redes GAN De Crecimiento Progresivo”, Hernández2021
  • “Few-Shot Semantic Image Synthesis Using StyleGAN Prior”, Endo & Kanamori2021
  • “AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation”, Li et al 2021
  • “Hiding Data Hiding”, Wu et al 2021
  • “Danbooru2020 Zero-Shot Anime Character Identification Dataset (ZACI-20)”, Akimoto2021
  • “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 & Makarov2021
  • “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 & Lee2020
  • “Automatic Colorization of High-Resolution Animation Style Line-Art Based on Frequency Separation and Two-Stage Generator”, Lee & Lee2020b
  • “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 StyleGAN-2 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 & Herrera2020
  • “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”, Anonymous2020
  • “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”, Dragan2020
  • “SickZil-Machine (SZMC): A Deep Learning Based Script Text Isolation System for Comics Translation”, Ko & Cho2020
  • “Closed-Form Factorization of Latent Semantics in GANs”, Shen & Zhou2020
  • “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 & Fang2020
  • “Designing Network Design Spaces”, Radosavovic et al 2020
  • “Training Effective Model for Real-Time Detection of NSFW Photos and Drawings”, Zhelonkin & Karpov2020
  • “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”, Rignak2020
  • “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”, Simon2019
  • “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”, Studios2019
  • “How We Built the Waifu Vending Machine”, Studios2019
  • “SAN: Second-Order Attention Network for Single Image Super-Resolution”, Dai et al 2019
  • “Disentangling Style and Content in Anime Illustrations”, Xiang & Li2019
  • “LFFD: A Light and Fast Face Detector for Edge Devices”, He et al 2019
  • “Image Generation From Small Datasets via Batch Statistics Adaptation”, Noguchi & Harada2019
  • “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”, Butterscotch2018
  • “Deep Danbooru”
  • “DAF:re/Animesion: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition § Methodology: Data: DAF:re”
  • “StyleGAN-2 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_212ya.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 Danbooru2021 Dataset”
  • “A Closer Look Into The Latent-Diffusion Repo, Do Better Than Just Looking”
  • “Danbooru2018 Pytorch Pretrained Models”
  • “Iterating on an Idea: On the 17^th 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”
  • Sort By Magic
    • attribute-classification
    • anime-recognition
    • image-colorization
    • colorization-anime lineart colorization anime-colorization diffusion-colorization sketch-colorization
• Miscellaneous
• Bibliography

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