Creative intent in video editing can be expressed through text instructions (e.g.,"remove the people"), image references (e.g., subject appearance), video references (e.g., camera movement), or a combination of the above. We introduce OmniXRef, a unified framework for multimodal multi-reference video editing that allow...
Xiao-Yan Cong, Tian-Yu Wang, Hyeonho Jeong et al.· 0 citations
Recent generative video editing models enable video content modification (e.g., changing a character) but target short clips. Extending them to full multi-shot videos requires tedious work to locate relevant content across shots, segment it into clips, craft context-aware editing prompts for each clip, and repeatedly a...
Boyu Li, Yu-Qian Zhou, Duo-Tun Wang et al.· 0 citations
This work introduces Latent Dynamics Reasoning (LDR), the first video world model that extrapolates learned dynamics beyond its training distribution and can even generalize under severe shift.
Haodong Li, Shao-Teng Liu, Tian-Yu Wang et al.· 0 citations
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