Stochastic Image Denoising by Sampling from the Posterior Distribution. - Bahjat Kawar; Gregory Vaksman; Michael Elad (ICCVW, 2021)

SNIPS: Solving Noisy Inverse Problems Stochastically. - Bahjat Kawar; Gregory Vaksman; Michael Elad (NeurIPS, 2021)

Denoising Diffusion Restoration Models. - Bahjat Kawar; Michael Elad; Stefano Ermon; Jiaming Song (NeurIPS, 2022)

Threat Model-Agnostic Adversarial Defense using Diffusion Models. - Tsachi Blau; Roy Ganz; Bahjat Kawar; Alex M. Bronstein; Michael Elad (CoRR, 2022)

Do Perceptually Aligned Gradients Imply Adversarial Robustness? - Roy Ganz; Bahjat Kawar; Michael Elad (CoRR, 2022)

JPEG Artifact Correction using Denoising Diffusion Restoration Models. - Bahjat Kawar; Jiaming Song; Stefano Ermon; Michael Elad (CoRR, 2022)

Imagic: Text-Based Real Image Editing with Diffusion Models. - Bahjat Kawar; Shiran Zada; Oran Lang; Omer Tov; Huiwen Chang; Tali Dekel; Inbar Mosseri; Michal Irani (CVPR, 2023)

Editing Implicit Assumptions in Text-to-Image Diffusion Models. - Hadas Orgad; Bahjat Kawar; Yonatan Belinkov (ICCV, 2023)

Do Perceptually Aligned Gradients Imply Robustness? - Roy Ganz; Bahjat Kawar; Michael Elad (ICML, 2023)

Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance. - Bahjat Kawar; Roy Ganz; Michael Elad (Trans. Mach. Learn. Res., 2023)

Image Denoising: The Deep Learning Revolution and Beyond - A Survey Paper. - Michael Elad; Bahjat Kawar; Gregory Vaksman (SIAM J. Imaging Sci., 2023)

Nested Diffusion Processes for Anytime Image Generation. - Noam Elata; Bahjat Kawar; Tomer Michaeli; Michael Elad (WACV, 2024)

GSURE-Based Diffusion Model Training with Corrupted Data. - Bahjat Kawar; Noam Elata; Tomer Michaeli; Michael Elad (Trans. Mach. Learn. Res., 2024)

Novel View Synthesis with Pixel-Space Diffusion Models. - Noam Elata; Bahjat Kawar; Yaron Ostrovsky-Berman; Miriam Farber; Ron Sokolovsky (CVPR, 2025)

Simple ReFlow: Improved Techniques for Fast Flow Models. - Beomsu Kim; Yu-Guan Hsieh; Michal Klein; Marco Cuturi; Jong Chul Ye; Bahjat Kawar; James Thornton (ICLR, 2025)