OpenS2V-Weight

<div align=center> <img src="https://github.com/PKU-YuanGroup/OpenS2V-Nexus/blob/main/__assets__/OpenS2V-Nexus_logo.png?raw=true" width="300px"> </div> <h2 align="center"> <a href="https://pku-yuangroup.github.io/OpenS2V-Nexus/">OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation</a></h2> <h5 align="center"> If you like our project, please give us a star ⭐ on GitHub for the latest update. </h5>

✨ Summary

1. New S2V Benchmark.
   • We introduce OpenS2V-Eval for comprehensive evaluation of S2V models and propose three new automatic metrics aligned with human perception.
2. New Insights for S2V Model Selection.
   • Our evaluations using OpenS2V-Eval provide crucial insights into the strengths and weaknesses of various subject-to-video generation models.
3. Million-Scale S2V Dataset.
   • We create OpenS2V-5M, a dataset with 5.1M high-quality regular data and 0.35M Nexus Data, the latter is expected to address the three core challenges of subject-to-video.

💡 Description

• Repository: Code, Page, Dataset, Benchmark
• Paper: https://huggingface.co/papers/2505.20292
• Point of Contact: Shenghai Yuan

✏️ Citation

If you find our paper and code useful in your research, please consider giving a star and citation.

@article{yuan2025opens2v,
  title={OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation},
  author={Yuan, Shenghai and He, Xianyi and Deng, Yufan and Ye, Yang and Huang, Jinfa and Lin, Bin and Luo, Jiebo and Yuan, Li},
  journal={arXiv preprint arXiv:2505.20292},
  year={2025}
}