AI RESEARCH
VideoCoF: Unified Video Editing with Temporal Reasoner
arXiv CS.CV
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ArXi:2512.07469v2 Announce Type: replace Existing video editing methods face a critical trade-off: expert models offer precision but rely on task-specific priors like masks, hindering unification; conversely, unified temporal in-context learning models are mask-free but lack explicit spatial cues, leading to weak instruction-to-region mapping and imprecise localization. To resolve this conflict, we propose VideoCoF, a novel Chain-of-Frames approach inspired by Chain-of-Thought reasoning.