Arthur Leclaire

Orcid: 0000-0002-2944-257X

According to our database1, Arthur Leclaire authored at least 31 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
On Strong Basins of Attractions for Non-convex Sparse Spike Estimation: Upper and Lower Bounds.
J. Math. Imaging Vis., January, 2024

Plug-and-Play image restoration with Stochastic deNOising REgularization.
CoRR, 2024

2023
A Generative Model for Texture Synthesis based on Optimal Transport Between Feature Distributions.
J. Math. Imaging Vis., January, 2023

Convergent plug-and-play with proximal denoiser and unconstrained regularization parameter.
CoRR, 2023

A Relaxed Proximal Gradient Descent Algorithm for Convergent Plug-and-Play with Proximal Denoiser.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Optimal Transport Between GMM for Multiscale Texture Synthesis.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization.
Proceedings of the International Conference on Machine Learning, 2022

Gradient Step Denoiser for convergent Plug-and-Play.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Maximum Entropy Methods for Texture Synthesis: Theory and Practice.
SIAM J. Math. Data Sci., 2021

A Stochastic Multi-layer Algorithm for Semi-discrete Optimal Transport with Applications to Texture Synthesis and Style Transfer.
J. Math. Imaging Vis., 2021

On the Existence of Optimal Transport Gradient for Learning Generative Models.
CoRR, 2021

Wasserstein Generative Models for Patch-Based Texture Synthesis.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

2020
Projected Gradient Descent for Non-Convex Sparse Spike Estimation.
IEEE Signal Process. Lett., 2020

An algorithm for non-convex off-the-grid sparse spike estimation with a minimum separation constraint.
CoRR, 2020

The basins of attraction of the global minimizers of non-convex inverse problems with low-dimensional models in infinite dimension.
CoRR, 2020

2019
Patch Redundancy in Images: A Statistical Testing Framework and Some Applications.
SIAM J. Imaging Sci., 2019

A Fast Multi-layer Approximation to Semi-discrete Optimal Transport.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

Macrocanonical Models for Texture Synthesis.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

2018
A Texture Synthesis Model Based on Semi-Discrete Optimal Transport in Patch Space.
SIAM J. Imaging Sci., 2018

Stochastic Image Models from SIFT-Like Descriptors.
SIAM J. Imaging Sci., 2018

2017
Texture Inpainting Using Efficient Gaussian Conditional Simulation.
SIAM J. Imaging Sci., 2017

An Algorithm for Gaussian Texture Inpainting.
Image Process. Line, 2017

Texton Noise.
Comput. Graph. Forum, 2017

Stochastic Image Reconstruction from Local Histograms of Gradient Orientation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Semi-discrete Optimal Transport in Patch Space for Enriching Gaussian Textures.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

2016
Microtexture inpainting through Gaussian conditional simulation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
No-Reference Image Quality Assessment and Blind Deblurring with Sharpness Metrics Exploiting Fourier Phase Information.
J. Math. Imaging Vis., 2015

2014
A texton for fast and flexible Gaussian texture synthesis.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Blind Deblurring Using a Simplified Sharpness Index.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

2012
An Implementation and Detailed Analysis of the K-SVD Image Denoising Algorithm.
Image Process. Line, 2012


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