Antoine Houdard

19 papers A* 1Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2024 — conf
Efficient Posterior Sampling for Diverse Super-Resolution with Hierarchical VAE Prior.
VISIGRAPP (3): VISAPP
Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
2024 J jnl
Real-Time Neural Materials using Block-Compressed Features.
Comput. Graph. Forum
Clément Weinreich, Leonardo de Oliveira, Antoine Houdard, Georges Nader
2023 J jnl
A Generative Model for Texture Synthesis based on Optimal Transport Between Feature Distributions.
J. Math. Imaging Vis.
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
2023 A* conf
Inverse problem regularization with hierarchical variational autoencoders.
ICCV
Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
2023 J jnl
Inverse problem regularization with hierarchical variational autoencoders.
CoRR
Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
2023 J jnl
On the Gradient Formula for learning Generative Models with Regularized Optimal Transport Costs.
Trans. Mach. Learn. Res.
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
2023 J jnl
Real-Time Neural Materials using Block-Compressed Features.
CoRR
Clément Weinreich, Louis de Oliveira, Antoine Houdard, Georges Nader
2022 J jnl
Diverse super-resolution with pretrained deep hiererarchical VAEs.
CoRR
Jean Prost, Antoine Houdard, Nicolas Papadakis, Andrés Almansa
2022 J jnl
Wasserstein Patch Prior for Image Superresolution.
IEEE Trans. Computational Imaging
Johannes Hertrich, Antoine Houdard, Claudia Redenbach
2021 — conf
Learning Local Regularization for Variational Image Restoration.
SSVM
Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
2021 J jnl
Learning local regularization for variational image restoration.
CoRR
Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
2021 J jnl
On the Existence of Optimal Transport Gradient for Learning Generative Models.
CoRR
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
2021 — conf
Wasserstein Generative Models for Patch-Based Texture Synthesis.
SSVM
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
2021 J jnl
Wasserstein Patch Prior for Image Superresolution.
CoRR
Johannes Hertrich, Antoine Houdard, Claudia Redenbach
2020 J jnl
Wasserstein Generative Models for Patch-based Texture Synthesis.
CoRR
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
2019 — conf
Statistical Modeling of the Patches DC Component for Low-Frequency Noise Reduction.
EUSIPCO
Antoine Houdard
2018 J jnl
High-Dimensional Mixture Models for Unsupervised Image Denoising (HDMI).
SIAM J. Imaging Sci.
Antoine Houdard, Charles Bouveyron, Julie Delon
2018 — —
Some advances in patch-based image denoising. (Quelques avancées dans le débruitage d'image par patchs).
Antoine Houdard
2017 J jnl
Demystifying the Asymptotic Behavior of Global Denoising.
J. Math. Imaging Vis.
Antoine Houdard, Andrés Almansa, Julie Delon