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pretty_name: ColorFM Stage 1 Color-Transfer Dataset
tags:
- image
- color-transfer
- computer-vision
---
# ColorFM Stage 1 Color-Transfer Dataset
This dataset contains image triplets generated for training the ColorFM-L model: a content image, a style image, and the corresponding ColorFM-O color-transfer result.
## Dataset Details
### Dataset Description
The dataset was prepared for Stage 2 offline training of ColorFM-L. Stage 1 uses ColorFM-O to generate a color-transfer target for a content/style image pair.
- **Repository:** [heyh97791/ColorFM](https://huggingface.co/datasets/heyh97791/ColorFM)
- **Paper:** [ColorFM on arXiv](https://arxiv.org/abs/2607.07119)
- **Generated target resolution:** 512 × 512
### Dataset Sources
The source photographs were obtained from Unsplash. The generated target images were produced by applying ColorFM-O to content/style pairs.
## Dataset Structure
The repository is organized by image category. Each category has an original-image folder and a corresponding `styled_<category>` folder. For example:
```text
animal/
001.jpg
002.jpg
styled_animal/
001/
001_002.png
001_003.png
002/
002_001.png
```
A generated filename `contentID_styleID.png` identifies the content image and style image used to create that target. The content and style images are stored once in the original-image folder and may be reused across multiple pairs.
The available categories are `animal`, `city_street_building`, `indoor`, `nature`, `portraits`, `random`, and `still_life`.
The release contains the available generated pairs after curation; it should not be assumed to contain every possible pair.
## Source Data and Rights
The original images in dataset ColorFM were sourced from [Unsplash](https://unsplash.com/) and are used solely for non-commercial academic research. Copyright remains with the respective photographers; the images are not relicensed under this project's license. For rights-related inquiries or removal requests, please contact us.
## Citation
If you use ColorFM, please cite:
```bibtex
@inproceedings{he2026colorfm,
title={ColorFM: An Optimization-to-Learning Framework for Color Transfer via Flow Matching},
author={He, Yuhang and Zhang, Kai and Li, Xiaoming and Chen, Du and Yang, Jian},
booktitle={European Conference on Computer Vision},
year={2026}
}
``` |