16 citations · 39 across the 3 of their papers we have counts for
3 papers
eess.IV2023★ 9 cited
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper --
Michael Elad, Bahjat Kawar, Gregory Vaksman
Image denoising (removal of additive white Gaussian noise from an image) is one of the oldest and most studied problems in image processing. An extensive work over several decades…
eess.IV2022★ 16 cited
JPEG Artifact Correction using Denoising Diffusion Restoration Models
Bahjat Kawar, Jiaming Song, Stefano Ermon +1
Diffusion models can be used as learned priors for solving various inverse problems. However, most existing approaches are restricted to linear inverse problems, limiting their app…
cs.CV2022★ 14 cited
Threat Model-Agnostic Adversarial Defense using Diffusion Models
Tsachi Blau, Roy Ganz, Bahjat Kawar +2
Deep Neural Networks (DNNs) are highly sensitive to imperceptible malicious perturbations, known as adversarial attacks. Following the discovery of this vulnerability in real-world…