activity
20192026
most citedProjected gradient descent for non-convex sparse spike estimation

21 citations · 92 across the 18 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

Controllable blind deblurring with diffusion models

Imane Si Salah, Emile Cribelier, Thomas Veit +2

Image acquisition with a camera involves several degradations due to the optical system, sensor, or low-level processing steps. We address blind deblurring in professional photogra…

cs.CV2021★ 19 cited

Gradient Step Denoiser for convergent Plug-and-Play

Samuel Hurault, Arthur Leclaire, Nicolas Papadakis

Plug-and-Play methods constitute a class of iterative algorithms for imaging problems where regularization is performed by an off-the-shelf denoiser. Although Plug-and-Play methods…

cs.CV2020★ 18 cited

A Generative Model for Texture Synthesis based on Optimal Transport between Feature Distributions

Antoine Houdard, Arthur Leclaire, Nicolas Papadakis +1

We propose GOTEX, a general framework for texture synthesis by optimization that constrains the statistical distribution of local features. While our model encompasses several exis…

cs.CV2019

Patch redundancy in images: a statistical testing framework and some applications

De Bortoli Valentin, Desolneux Agnès, Galerne Bruno +1

In this work we introduce a statistical framework in order to analyze the spatial redundancy in natural images. This notion of spatial redundancy must be defined locally and thus w…

cs.CV2019★ 1 cited

Macrocanonical Models for Texture Synthesis

De Bortoli Valentin, Desolneux Agnès, Galerne Bruno +1

In this article we consider macrocanonical models for texture synthesis. In these models samples are generated given an input texture image and a set of features which should be ma…