5 papers
OpenLongTail: Generative Scaling of Long-Tail Driving Data
Lulin Liu, Nuo Chen, Yan Wang +15
Scaling robust driving policies is fundamentally bottlenecked by the scarcity of edge cases in curated datasets. While the real world continuously captures these critical events, s…
MV-S2V: Multi-View Subject-Consistent Video Generation
Ziyang Song, Xinyu Gong, Bangya Liu +1
Existing Subject-to-Video Generation (S2V) methods have achieved high-fidelity and subject-consistent video generation, yet remain constrained to single-view subject references. Th…
ByteLoom: Weaving Geometry-Consistent Human-Object Interactions through Progressive Curriculum Learning
Bangya Liu, Xinyu Gong, Zelin Zhao +6
Human-object interaction (HOI) video generation has garnered increasing attention due to its promising applications in digital humans, e-commerce, advertising, and robotics imitati…
CETCAM: Camera-Controllable Video Generation via Consistent and Extensible Tokenization
Zelin Zhao, Xinyu Gong, Bangya Liu +5
Achieving precise camera control in video generation remains challenging, as existing methods often rely on camera pose annotations that are difficult to scale to large and dynamic…
Reg-DPO: SFT-Regularized Direct Preference Optimization with GT-Pair for Improving Video Generation
Jie Du, Xinyu Gong, Qingshan Tan +7
Recent studies have identified Direct Preference Optimization (DPO) as an efficient and reward-free approach to improving video generation quality. However, existing methods largel…