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20212026
most citedTokenFlow: Consistent Diffusion Features for Consistent Video Editing

42 citations · 55 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

Solaris: Towards Interfaces That Are Generated, Not Coded

Yuval Alaluf, Omri Avrahami, Guy Bukchin Leshem +18

Digital interfaces are traditionally implemented through intermediate representations such as code, requiring their appearance and behavior to be specified in advance. We introduce…

cs.CV2025

Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis

Michal Geyer, Omer Tov, Linyi Jin +4

The rising popularity of immersive visual experiences has increased interest in stereoscopic 3D video generation. Despite significant advances in video synthesis, creating 3D video…

cs.CV2024

Generative Omnimatte: Learning to Decompose Video into Layers

Yao-Chih Lee, Erika Lu, Sarah Rumbley +4

Given a video and a set of input object masks, an omnimatte method aims to decompose the video into semantically meaningful layers containing individual objects along with their as…

cs.CV2023★ 42 cited

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…

cs.CV2023

Neural Congealing: Aligning Images to a Joint Semantic Atlas

Dolev Ofri-Amar, Michal Geyer, Yoni Kasten +1

We present Neural Congealing -- a zero-shot self-supervised framework for detecting and jointly aligning semantically-common content across a given set of images. Our approach harn…

cs.CV2022★ 13 cited

Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation

Narek Tumanyan, Michal Geyer, Shai Bagon +1

Large-scale text-to-image generative models have been a revolutionary breakthrough in the evolution of generative AI, allowing us to synthesize diverse images that convey highly co…