
Oran Lang
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Imagic: Non-Rigid Real Image Editing with Text-Conditioned Diffusion Models
Bahjat Kawar
Huiwen Chang
Michal Irani
Shiran Zada
arxiv (2023) (to appear)
What You See is What You Read? Improving Text-Image Alignment Evaluation
Michal Yarom
Eran Ofek
arXiv (2023)
Self-Distilled StyleGAN: Towards Generation from Internet Photos
Ron Mokady
Michal Yarom
Michal Irani
Proceedings of the 49th Annual Conference on Computer Graphics and Interactive Techniques (2022)
Using generative AI to investigate medical imagery models and datasets
Charles Lau
Chloe Nichols
Doron Yaya-Stupp
Heather Cole-Lewis
Ilana Traynis
https://arxiv.org/ (2022)
Explaining in Style: Training a GAN to explain a classifier in StyleSpace
Yossi Gandelsman
Michal Yarom
Yoav Itzhak Wald
Phillip Isola
Michal Irani
Proc. ICCV 2021
Towards Learning a Universal Non-Semantic Representation of Speech
Joel Shor
Ronnie Zvi Maor
Omry Tuval
Marco Tagliasacchi
Ira Shavitt
Proc. Interspeech 2020 (2020)
SpeedNet: Learning the Speediness in Videos
Sagie Benaim
Michal Irani
Proc. CVPR 2020
Personalizing ASR for Dysarthric and Accented Speech with Limited Data
Joel Shor
Omry Tuval
Interspeech 2019 (2019)
Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation
ACM Transactions on Graphics (Proc. SIGGRAPH), 37 (2018)