Dataset Card for MS-Bench

This dataset card is about the multi-subject personalization benchmark used in MS-Diffusion.

Dataset Details

• Repository: https://github.com/MS-Diffusion/MS-Diffusion
• Paper[ICLR 2025]: https://arxiv.org/pdf/2406.07209
• Model: https://huggingface.co/doge1516/MS-Diffusion

Dataset Structure

This benchmark contains 7 categories, 40 subjects, and 13 combinations. Details of the data structure are defined in the paper and msbench.py.

Dataset Source

The subjects in MS-Bench are collected from DreamBench, CustomConcept101, and the Internet. This benchmark is for research use only.

Citation

@inproceedings{
  wang2025msdiffusion,
  title={{MS}-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance},
  author={Xierui Wang and Siming Fu and Qihan Huang and Wanggui He and Hao Jiang},
  booktitle={The Thirteenth International Conference on Learning Representations},
  year={2025},
  url={https://openreview.net/forum?id=PJqP0wyQek}
}