AI RESEARCH
Versatile Editing of Video Content, Actions, and Dynamics without Training
arXiv CS.CV
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ArXi:2603.17989v1 Announce Type: new Controlled video generation has seen drastic improvements in recent years. However, editing actions and dynamic events, or inserting contents that should affect the behaviors of other objects in real-world videos, remains a major challenge. Existing trained models struggle with complex edits, likely due to the difficulty of collecting relevant