Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion
arxiv(2024)
摘要
We introduce Videoshop, a training-free video editing algorithm for localized
semantic edits. Videoshop allows users to use any editing software, including
Photoshop and generative inpainting, to modify the first frame; it
automatically propagates those changes, with semantic, spatial, and temporally
consistent motion, to the remaining frames. Unlike existing methods that enable
edits only through imprecise textual instructions, Videoshop allows users to
add or remove objects, semantically change objects, insert stock photos into
videos, etc. with fine-grained control over locations and appearance. We
achieve this through image-based video editing by inverting latents with noise
extrapolation, from which we generate videos conditioned on the edited image.
Videoshop produces higher quality edits against 6 baselines on 2 editing
benchmarks using 10 evaluation metrics.
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