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2026-02-24 04:52:10
raw text
TokenFlow: Consistent Diffusion Features for Consistent Video Editing TokenFlow: Consistent Diffusion Features for Consistent Video Editing Michal Geyer * , Omer Bar-Tal * , Shai Bagon , Tali Dekel Weizmann institute of science * Indicates Equal Contribution ICLR 2024 Paper Supplementary Code Demo arXiv Abstract The generative AI revolution has been recently expanded to videos. Nevertheless, current state-of-the-art video models are still lagging behind image models in terms of visual quality and user control over the generated content. In this work, we present a framework that harnesses the power of a text-to-image diffusion model for the task of text-driven video editing. Specifically, given a source video and a target text-prompt, our method generates a high-quality video that adheres to the target text, while preserving the spatial layout and dynamics of t...
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