Datasets:
| pretty_name: ControlArt-Bench | |
| tags: | |
| - image-retouching | |
| - image-editing | |
| - visual-focus | |
| - benchmark | |
| # ControlArt-Bench | |
| ControlArt-Bench is a benchmark for evaluating intent-driven image | |
| retouching and visual focus enhancement, introduced with **EyeControl**. | |
| ## Dataset Contents | |
| The dataset contains 200 evaluation samples. | |
| Each sample includes: | |
| - a input image. | |
| - a user intent masks. | |
| - a retouching instructions (we support a long instruction and a short instruction). | |
| - a reference image. | |
| ## Directory Structure | |
| Replace this example with the actual dataset layout: | |
| ```text | |
| . | |
| ├── inputs/ | |
| ├── masks/ | |
| ├── prompts/ | |
| ├── targets/ | |
| └── README.md | |
| ``` | |
| ## Download | |
| ```bash | |
| pip install -U huggingface_hub | |
| hf download Dragoniss/ControlArt-Bench \ | |
| --repo-type dataset \ | |
| --local-dir datasets/ControlArt-Bench | |
| ``` | |
| ## Evaluation | |
| See evaluation details in https://github.com/DragonisCV/EyeControl/blob/main/docs/evaluation.md | |
| ## License | |
| ## Citation | |
| ```bibtex | |
| @article{qin2026dotting, | |
| title={Dotting the Eye: An Intent-Driven Image Retouching Agent for Visual Focus Enhancement}, | |
| author={Qin, Chujie and Zhang, Zilong and Chang, Zewei and Guo, Chunle and Wang, Ruixing and Hu, Tao and Cheng, Ming-Ming and Li, Chongyi}, | |
| journal={arXiv preprint arXiv:2609.01148}, | |
| year={2026}, | |
| url={https://arxiv.org/abs/2609.01148} | |
| } | |
| ``` |