3 papers
eess.IV2026
Right Bregman proximal gradient with application to Poisson inverse problems *
Thibaut Modrzyk, Elie Bretin, Voichita Maxim
We introduce a novel Bregman proximal algorithm for convex composite optimization by applying the standard Bregman proximal gradient (BPG) method to a mirror-coordinate reparameter…
cs.CV2026
A convergent Plug-and-Play Majorization-Minimization algorithm for Poisson inverse problems
Thibaut Modrzyk, Ane Etxebeste, Élie Bretin +1
In this paper, we present a novel variational plug-and-play algorithm for Poisson inverse problems. Our approach minimizes an explicit functional which is the sum of a Kullback-Lei…
eess.IV2025
DeepInverse: A Python package for solving imaging inverse problems with deep learning
Julián Tachella, Matthieu Terris, Samuel Hurault +24
DeepInverse is an open-source PyTorch-based library for solving imaging inverse problems. The library covers all crucial steps in image reconstruction from the efficient implementa…