65 citations · 163 across the 8 of their papers we have counts for
4 papers · 1 filter
Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer
Danah Yatim, Rafail Fridman, Omer Bar-Tal +2
We present a new method for text-driven motion transfer - synthesizing a video that complies with an input text prompt describing the target objects and scene while maintaining an…
Disentangling Structure and Appearance in ViT Feature Space
Narek Tumanyan, Omer Bar-Tal, Shir Amir +2
We present a method for semantically transferring the visual appearance of one natural image to another. Specifically, our goal is to generate an image in which objects in a source…
TokenFlow: Consistent Diffusion Features for Consistent Video Editing
Michal Geyer, Omer Bar-Tal, Shai Bagon +1
The generative AI revolution has recently expanded to videos. Nevertheless, current state-of-the-art video models are still lagging behind image models in terms of visual quality a…
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
Omer Bar-Tal, Lior Yariv, Yaron Lipman +1
Recent advances in text-to-image generation with diffusion models present transformative capabilities in image quality. However, user controllability of the generated image, and fa…