| --- |
| 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} |
| } |
| ``` |
