A two-stage privileged context distillation framework, which transfers full context behavior from a dense teacher through consistency distillation and then refines deployment rollouts with distribution matching, is proposed, which transfers full context behavior from a dense teacher through consistency distillation.
Xu Guo, Zhengxuan Wei, Xinghui Li et al.· 0 citations
Vera is proposed, a unified human-centric S2V framework for single- and multi- person generation that improves human identity consistency, multi-person subject binding, and motion naturalness, while reducing identity confusion and excessive reference-image copying.
Yulong Xu, Xinyue Liu, Shujuan Li et al.· arXiv.org· 0 citations
Concentrated Implicit Preference Optimization (cIPO) is proposed, a post-training framework for video diffusion models that captures inference-time errors without requiring human annotations or external reward models and consistently enhances video authenticity and temporal coherence across multiple datasets.
Henglin Liu, Fangyuan Kong, Jing Wang et al.· 0 citations
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