1 code implementation • NeurIPS 2023 • Theo Adrai, Guy Ohayon, Tomer Michaeli, Michael Elad
We propose an image restoration algorithm that can control the perceptual quality and/or the mean square error (MSE) of any pre-trained model, trading one over the other at test time.
no code implementations • 21 Nov 2022 • Sean Man, Guy Ohayon, Theo Adrai, Michael Elad
JPEG is arguably the most popular image coding format, achieving high compression ratios via lossy quantization that may create visual artifacts degradation.
no code implementations • 16 Nov 2022 • Guy Ohayon, Theo Adrai, Michael Elad, Tomer Michaeli
Stochastic restoration algorithms allow to explore the space of solutions that correspond to the degraded input.
1 code implementation • 6 Mar 2021 • Guy Ohayon, Theo Adrai, Gregory Vaksman, Michael Elad, Peyman Milanfar
We showcase our proposed method with a novel denoiser architecture that achieves the reformed denoising goal and produces vivid and diverse outcomes in immoderate noise levels.