Video editing models achieve strong performance in modifying appearance, backgrounds, styles, and motions, empowered by large-scale training data. Beyond general scenarios, professional motions are significant in performance, sports, and martial arts. This paper focuses on professional motion editing, which involves fi...
Si-Yi Qian, Han-Qing Yang, Wei-Huang Lin et al.· 0 citations
VLX-VR, an agentic-aware video reasoning model trained within a video reasoning framework defined by a Think--Memory--Observation loop, shows strong performance and broadly stable behavior across durations, while counting, state changes, causal reasoning, and spatial perception remain challenging.
Sheng Li, Peng Liu, Qian-Qian Zhang et al.· 0 citations
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