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CVPR2024Top-tier venue

RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models

Ozgur Kara, Bariscan Kurtkaya, Hidir Yesiltepe, James M. Rehg, Pinar Yanardag

2024Year
46Top-tier citations

Abstract

Input Input "a white cat" "an ancient Egyptian pharaoh is typing" "a bear" "a zombie" "a dinosaur" "a man wearing a glitter jacket is typing" Figure 1 . RAVE is a lightweight and fast video editing method that enhances temporal consistency in video edits, utilizing pre-trained text-to-image diffusion models. It is capable of modifying local attributes, like changing a person's jacket (bottom right), and can also handle complex shape transformations, such as turning a wolf into a dinosaur (bottom left).

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