Theo Joseph Adrai — accepted AI-conference papers

2023

Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration

Theo Joseph Adrai, Guy Ohayon, Michael Elad, Tomer Michaeli

NeurIPS 2023poster

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. Our algorithm is few-shot: Given about a dozen images restored by the model, it can significantly improve the percep…

Cited by 13 Source ↗PDF ↗code ↗Scholar ↗

2023

Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality

Guy Ohayon, Theo Joseph Adrai, Michael Elad, Tomer Michaeli

ICML 2023poster

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 stochastic methods over deterministic ones, which further motivate their use. First, we prove that any restoration algorithm t…

Cited by 11 Source ↗PDF ↗Scholar ↗