Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion
원문 초록
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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Causally Steered Diffusion for Automated Video Counterfactual Generation
FADE: Frequency-Aware Diffusion Model Factorization for Video Editing
Zero-to-Hero: Zero-Shot Initialization Empowering Reference-Based Video Appearance Editing
Video Editing for Audio-Visual Dubbing
DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency
FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution
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