Search Results for author: Michal Geyer

Found 4 papers, 3 papers with code

TokenFlow: Consistent Diffusion Features for Consistent Video Editing

1 code implementation19 Jul 2023 Michal Geyer, Omer Bar-Tal, Shai Bagon, Tali Dekel

In this work, we present a framework that harnesses the power of a text-to-image diffusion model for the task of text-driven video editing.

Video Editing

Neural Congealing: Aligning Images to a Joint Semantic Atlas

no code implementations CVPR 2023 Dolev Ofri-Amar, Michal Geyer, Yoni Kasten, Tali Dekel

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

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

3 code implementations CVPR 2023 Narek Tumanyan, Michal Geyer, Shai Bagon, Tali Dekel

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 complex visual concepts.

Image-to-Image Translation Text-based Image Editing +1

Minimum Description Length Recurrent Neural Networks

1 code implementation31 Oct 2021 Nur Lan, Michal Geyer, Emmanuel Chemla, Roni Katzir

We train neural networks to optimize a Minimum Description Length score, i. e., to balance between the complexity of the network and its accuracy at a task.

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