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Video Editing via Factorized Diffusion Distillation
March 15, 2024, 4:45 a.m. | Uriel Singer, Amit Zohar, Yuval Kirstain, Shelly Sheynin, Adam Polyak, Devi Parikh, Yaniv Taigman
cs.CV updates on arXiv.org arxiv.org
Abstract: We introduce Emu Video Edit (EVE), a model that establishes a new state-of-the art in video editing without relying on any supervised video editing data. To develop EVE we separately train an image editing adapter and a video generation adapter, and attach both to the same text-to-image model. Then, to align the adapters towards video editing we introduce a new unsupervised distillation procedure, Factorized Diffusion Distillation. This procedure distills knowledge from one or more teachers …
abstract adapter art arxiv cs.cv data diffusion distillation edit editing emu emu video eve image state text text-to-image train type via video video generation
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