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Omer Bar-Tal


I am a graduate student in the Department of Computer Science and Applied Mathematics at the Weizmann Institute of Science under the supervision of Prof. Tali Dekel. I am currently a student researcher at Google Research.
My research is in computer vision and deep learning, I am particularly interested in video synthesis tasks.

Publications



Lumiere: A Space-Time Diffusion Model for Video Generation

Omer Bar-Tal*,Hila Chefer*, Omer Tov*,Charles Herrmann,Roni Paiss, Shiran Zada,Ariel Ephrat,Junhwa Hur,Yuanzhen Li,Tomer Michaeli,Oliver Wang,Deqing Sun,Tali Dekel,Inbar Mosseri

2024





Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer

Danah Yatim*, Rafail Fridman*, Omer Bar-Tal, Yoni Kasten, Tali Dekel

2024





TokenFlow: Consistent Diffusion Features for Consistent Video Editing

Michal Geyer*, Omer Bar-Tal*, Shai Bagon, Tali Dekel

International Conference on Learning Representations (ICLR) 2024





MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation

Omer Bar-Tal*, Lior Yariv*, Yaron Lipman, Tali Dekel

International Conference on Machine Learning (ICML) 2023





Text2LIVE: Text-Driven Layered Image and Video Editing

Omer Bar-Tal*, Dolev Ofri-Amar*, Rafail Fridman*, Yoni Kasten, Tali Dekel

European Conference on Computer Vision (ECCV) 2022, Oral





Splicing ViT Features for Semantic Appearance Transfer

Narek Tumanyan*, Omer Bar-Tal*, Shai Bagon, Tali Dekel

Conference on Computer Vision and Pattern Recognition (CVPR) 2022, Oral



Recorded Talks


Israel Computer Vision day

External