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README.md
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---
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tags:
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- anime
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- sketch-colorization
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- diffusion-models
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language:
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- en
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license: "cc-by-4.0"
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datasets:
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- Danbooru Tagged Dataset
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- AnimeDiffusion
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pretty_name: Anime Face Colorization Dataset
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size_categories:
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- 10K<n<100K
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- reference-based-colorization
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---
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# Anime Face Colorization Dataset
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[](https://github.com/AxelDlv00/DiffusionSketchColorization/tree/main)
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## Overview
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This dataset is designed for **anime face colorization** tasks using **diffusion models** and **photo-sketch correspondence techniques**. It provides a structured collection of reference images and corresponding sketches, allowing researchers and developers to explore various **AI-assisted colorization techniques**.
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**Read the paper:** [Sketch Colorization Using Diffusion Models](https://github.com/AxelDlv00/DiffusionSketchColorization/blob/main/sketch_colorization.pdf)
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---
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## Dataset Structure
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The dataset is organized into two main folders:
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- **`reference/`**: Contains colored reference images for different anime characters.
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- **`sketch/`**: Contains corresponding line-art sketches derived from reference images.
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Each subdirectory within these folders corresponds to a specific character, ensuring structured and character-specific training data.
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---
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## Datasets Used
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This dataset combines and enhances multiple existing datasets, including:
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- **Danbooru Tagged Dataset ("moeimouto" subset only)** [[Dataset](https://www.kaggle.com/datasets/mylesoneill/tagged-anime-illustrations)]
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- **[AnimeDiffusion Dataset](https://xq-meng.github.io/projects/AnimeDiffusion/)** augmented with **deformation flows**
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This structured dataset enables **effective training for anime sketch colorization models**.
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---
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## Citation
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**BibTeX:**
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```bibtex
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@misc{delaval2025animefacecolorization,
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author = {Axel Delaval and Adama Koïta},
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title = {Anime Face Colorization Dataset},
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year = {2025},
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url = {https://huggingface.co/datasets/ComputerVisionAnimeProject/AnimeFaceColorization/},
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note = {Dataset for anime sketch colorization using diffusion models.}
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}
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```
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