190 citations · 432 across the 36 of their papers we have counts for
4 papers · 1 filter
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser
Samuel Hurault, Antonin Chambolle, Arthur Leclaire +1
This paper presents a new convergent Plug-and-Play (PnP) algorithm. PnP methods are efficient iterative algorithms for solving image inverse problems formulated as the minimization…
On the Existence of Optimal Transport Gradient for Learning Generative Models
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis +1
The use of optimal transport cost for learning generative models has become popular with Wasserstein Generative Adversarial Networks (WGAN). Training of WGAN relies on a theoretica…
Characterizing the maximum parameter of the total-variation denoising through the pseudo-inverse of the divergence
Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon +1
We focus on the maximum regularization parameter for anisotropic total-variation denoising. It corresponds to the minimum value of the regularization parameter above which the solu…
Regularized Optimal Transport and the Rot Mover's Distance
Arnaud Dessein, Nicolas Papadakis, Jean-Luc Rouas
This paper presents a unified framework for smooth convex regularization of discrete optimal transport problems. In this context, the regularized optimal transport turns out to be…