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Introducing our new work: OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation​​ 🚀
We tackle the core challenges of ​​Subject-to-Video Generation (S2V)​​ by systematically building the first complete infrastructure—featuring an evaluation benchmark and a million-scale dataset! ✨
🧠Introducing ​​OpenS2V-Eval​​—the first ​​fine-grained S2V benchmark​​, with ​​180 multi-domain prompts + real/synthetic test pairs​​. We propose ​​NexusScore​​, ​​NaturalScore​​, and ​​GmeScore​​ to precisely quantify model performance across ​​subject consistency, naturalness, and text alignment​​ ✔
📊 Using this framework, we conduct a ​​comprehensive evaluation of 16 leading S2V models​​, revealing their strengths/weaknesses in complex scenarios!
🔥 ​​OpenS2V-5M dataset​​ now available! A ​​5.4M 720P HD​​ collection of ​​subject-text-video triplets​​, enabled by ​​cross-video association segmentation + multi-view synthesis​​ for ​​diverse subjects & high-quality annotations​​ 🚀
​​All resources open-sourced​​: Paper, Code, Data, and Evaluation Tools 📄
Let's advance S2V research together! 💡
🔗 ​​Links​​:
Paper: OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation (2505.20292)
Code: https://github.com/PKU-YuanGroup/OpenS2V-Nexus
Project: https://pku-yuangroup.github.io/OpenS2V-Nexus
LeaderBoard: BestWishYsh/OpenS2V-Eval
OpenS2V-Eval: BestWishYsh/OpenS2V-Eval
OpenS2V-5M: BestWishYsh/OpenS2V-5M
We tackle the core challenges of ​​Subject-to-Video Generation (S2V)​​ by systematically building the first complete infrastructure—featuring an evaluation benchmark and a million-scale dataset! ✨
🧠Introducing ​​OpenS2V-Eval​​—the first ​​fine-grained S2V benchmark​​, with ​​180 multi-domain prompts + real/synthetic test pairs​​. We propose ​​NexusScore​​, ​​NaturalScore​​, and ​​GmeScore​​ to precisely quantify model performance across ​​subject consistency, naturalness, and text alignment​​ ✔
📊 Using this framework, we conduct a ​​comprehensive evaluation of 16 leading S2V models​​, revealing their strengths/weaknesses in complex scenarios!
🔥 ​​OpenS2V-5M dataset​​ now available! A ​​5.4M 720P HD​​ collection of ​​subject-text-video triplets​​, enabled by ​​cross-video association segmentation + multi-view synthesis​​ for ​​diverse subjects & high-quality annotations​​ 🚀
​​All resources open-sourced​​: Paper, Code, Data, and Evaluation Tools 📄
Let's advance S2V research together! 💡
🔗 ​​Links​​:
Paper: OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation (2505.20292)
Code: https://github.com/PKU-YuanGroup/OpenS2V-Nexus
Project: https://pku-yuangroup.github.io/OpenS2V-Nexus
LeaderBoard: BestWishYsh/OpenS2V-Eval
OpenS2V-Eval: BestWishYsh/OpenS2V-Eval
OpenS2V-5M: BestWishYsh/OpenS2V-5M
