Adina Yakefu

AdinaY

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AdinaY's activity

upvoted an article about 7 hours ago
reacted to BestWishYsh's post with 🚀🔥 about 10 hours ago
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1016
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
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posted an update about 12 hours ago
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623
🔥 New benchmark & dataset for Subject-to-Video generation

OPENS2V-NEXUS by Pekin University

✨ Fine-grained evaluation for subject consistency
BestWishYsh/OpenS2V-Eval
✨ 5M-scale dataset:
BestWishYsh/OpenS2V-5M
✨ New metrics – automatic scores for identity, realism, and text match
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posted an update about 12 hours ago
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456
HunyuanVideo-Avatar 🔥 another image to video model byTencent Hunyuan

tencent/HunyuanVideo-Avatar

✨Emotion-controlled, high-dynamic avatar videos
✨Multi-character support with separate audio control
✨Works with any style: cartoon, 3D, real face, while keeping identity consistent
upvoted a changelog 1 day ago
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