242 citations · 571 across the 33 of their papers we have counts for
4 papers · 2 filters
High-Perceptual Quality JPEG Decoding via Posterior Sampling
Sean Man, Guy Ohayon, Theo Adrai +1
JPEG is arguably the most popular image coding format, achieving high compression ratios via lossy quantization that may create visual artifacts degradation. Numerous attempts to r…
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
Guy Ohayon, Theo Adrai, Michael Elad +1
Stochastic restoration algorithms allow to explore the space of solutions that correspond to the degraded input. In this paper we reveal additional fundamental advantages of stocha…
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…
Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon +1
Many interesting tasks in image restoration can be cast as linear inverse problems. A recent family of approaches for solving these problems uses stochastic algorithms that sample…