Antoine Houdard

According to our database, Antoine Houdard authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Real-Time Neural Materials using Block-Compressed Features.

Clément Weinreich, Leonardo de Oliveira, Antoine Houdard, Georges Nader

Comput. Graph. Forum, May, 2024

Efficient Posterior Sampling for Diverse Super-Resolution with Hierarchical VAE Prior.

Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

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

Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin

J. Math. Imaging Vis., January, 2023

On the Gradient Formula for learning Generative Models with Regularized Optimal Transport Costs.

Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin

Trans. Mach. Learn. Res., 2023

Real-Time Neural Materials using Block-Compressed Features.

Clément Weinreich, Louis de Oliveira, Antoine Houdard, Georges Nader

CoRR, 2023

Inverse problem regularization with hierarchical variational autoencoders.

Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Wasserstein Patch Prior for Image Superresolution.

Johannes Hertrich, Antoine Houdard, Claudia Redenbach

IEEE Trans. Computational Imaging, 2022

Diverse super-resolution with pretrained deep hiererarchical VAEs.

Jean Prost, Antoine Houdard, Nicolas Papadakis, Andrés Almansa

CoRR, 2022

2021

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

Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin

CoRR, 2021

Learning Local Regularization for Variational Image Restoration.

Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

Wasserstein Generative Models for Patch-Based Texture Synthesis.

Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

2019

Statistical Modeling of the Patches DC Component for Low-Frequency Noise Reduction.

Antoine Houdard

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Some advances in patch-based image denoising. (Quelques avancées dans le débruitage d'image par patchs).

Antoine Houdard

PhD thesis, 2018

High-Dimensional Mixture Models for Unsupervised Image Denoising (HDMI).

Antoine Houdard, Charles Bouveyron, Julie Delon

SIAM J. Imaging Sci., 2018

2017

Demystifying the Asymptotic Behavior of Global Denoising.

Antoine Houdard, Andrés Almansa, Julie Delon

J. Math. Imaging Vis., 2017