Introduces adaptive clip partitioning and anchor-based editing to preserve temporal structure in zero-shot video editing.
arXiv preprint arXiv:2502.05433 (2025)
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StreamEdit enables high-quality training-free video editing by adapting streaming video generation models with dual-branch fast sampling, self-attention bridge, cross-attention grounding, source-oriented guidance, and visual prompting, outperforming prior methods in few-step regimes.
citing papers explorer
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Beyond Consistency: Preserving Temporal Structure in Zero-Shot Video Editing
Introduces adaptive clip partitioning and anchor-based editing to preserve temporal structure in zero-shot video editing.
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StreamEdit: Training-Free Video Editing via Few-Step Streaming Video Generation
StreamEdit enables high-quality training-free video editing by adapting streaming video generation models with dual-branch fast sampling, self-attention bridge, cross-attention grounding, source-oriented guidance, and visual prompting, outperforming prior methods in few-step regimes.