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Paper · arXiv

Versatile Editing of Video Content, Actions, and Dynamics without Training

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 training data. Similarly, existing training-free methods are inherently restricted to structure- and motion-preserving edits and do not support modification of motion or interactions. Here, we introduce DynaEdit, a training-free editing method that unlocks versatile video editing capabilities with pretrained text-to-video flow models. Our method rel...

AuthorsVladimir Kulikov, Roni Paiss, Andrey Voynov et al.
Primary categorycs.CV
Published18 March 2026
Last updated at source18 March 2026
cs.CV
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