Patch Ordering as a Regularization for Inverse Problems in Image Processing. - Gregory Vaksman; Michael Zibulevsky; Michael Elad (SIAM J. Imaging Sci., 2016)

Low-Weight and Learnable Image Denoising. - Gregory Vaksman; Michael Elad; Peyman Milanfar (CoRR, 2019)

LIDIA: Lightweight Learned Image Denoising with Instance Adaptation. - Gregory Vaksman; Michael Elad; Peyman Milanfar (CVPR Workshops, 2020)

Patch Craft: Video Denoising by Deep Modeling and Patch Matching. - Gregory Vaksman; Michael Elad; Peyman Milanfar (ICCV, 2021)

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

High Perceptual Quality Image Denoising with a Posterior Sampling CGAN. - Guy Ohayon; Theo Adrai; Gregory Vaksman; Michael Elad; Peyman Milanfar (ICCVW, 2021)

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

Patch-Craft Self-Supervised Training for Correlated Image Denoising. - Gregory Vaksman; Michael Elad (CoRR, 2022)

PatchCraft Self-Supervised Training for Correlated Image Denoising. - Gregory Vaksman; Michael Elad (CVPR, 2023)

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