Reproduce “MSEditor: Toward Consistent Multi-Shot Video Editing” on OpenResearch
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About this paper
Kunyu Feng, Yue Ma, Bingyuan Wang, Yuefeng Wang, Zhiyuan Qin, Hao Cheng, Hao Li, Qifeng Chen and 1 more
MSEditor provides a framework for consistent multi-shot video editing, designed to maintain subject identity and coherence across discontinuous segments. The approach achieved higher scores in inter-shot and intra-shot consistency, as well as aesthetic quality and semantic consistency, compared to existing single-shot and retrained baseline methods.
Key insights
- Repurposing multi-view datasets with robust annotation techniques provides a scalable solution to the scarcity of dedicated multi-shot training data.
- Dynamically packing semantically related shots into a single attention window effectively facilitates inter-shot feature interaction, crucial for preventing identity drift and cumulative errors.
- Integrating both global and shot-specific textual guidance via sparse cross-attention maintains fine-grained edit control while ensuring overall semantic consistency across multiple shots.
Summary by alphaXiv.
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