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Editing long videos with multiple instructions can be done without hallucinations or loss of temporal continuity, thanks to a novel agentic framework that combines LLMs and VLMs.
ShotCrop$^3$ transforms a single image into a powerful narrative tool by generating three distinct shots, outperforming existing models in shot localization accuracy.
Achieve up to 2.5X faster video object removal by focusing DiT computations only on the essential tokens dictated by the mask.
