Antoine Houdard

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Venues

CoRR

SSVM

J. Math. Imaging Vis.

VISIGRAPP (3): VISAPP

Télécom ParisTech, France (PHD)

Education History

Télécom ParisTech, France

PHD

Publications

Clément Weinreich, Leonardo de Oliveira, Antoine Houdard, Georges Nader
Real-Time Neural Materials using Block-Compressed Features. Comput. Graph. Forum 43 (2) (2024)
Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
Efficient Posterior Sampling for Diverse Super-Resolution with Hierarchical VAE Prior. VISIGRAPP (3): VISAPP (2024)
Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
Inverse problem regularization with hierarchical variational autoencoders. CoRR (2023)
Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
Inverse problem regularization with hierarchical variational autoencoders. ICCV (2023)
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
A Generative Model for Texture Synthesis based on Optimal Transport Between Feature Distributions. J. Math. Imaging Vis. 65 (1) (2023)
Clément Weinreich, Louis de Oliveira, Antoine Houdard, Georges Nader
Real-Time Neural Materials using Block-Compressed Features. CoRR (2023)
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
On the Gradient Formula for learning Generative Models with Regularized Optimal Transport Costs. Trans. Mach. Learn. Res. 2023 (2023)
Jean Prost, Antoine Houdard, Nicolas Papadakis, Andrés Almansa
Diverse super-resolution with pretrained deep hiererarchical VAEs. CoRR (2022)
Johannes Hertrich, Antoine Houdard, Claudia Redenbach
Wasserstein Patch Prior for Image Superresolution. IEEE Trans. Computational Imaging 8 (2022)
Johannes Hertrich, Antoine Houdard, Claudia Redenbach
Wasserstein Patch Prior for Image Superresolution. CoRR (2021)
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
On the Existence of Optimal Transport Gradient for Learning Generative Models. CoRR (2021)
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
Wasserstein Generative Models for Patch-Based Texture Synthesis. SSVM (2021)
Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
Learning Local Regularization for Variational Image Restoration. SSVM (2021)
Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
Learning local regularization for variational image restoration. CoRR (2021)
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
Wasserstein Generative Models for Patch-based Texture Synthesis. CoRR (2020)
Antoine Houdard
Statistical Modeling of the Patches DC Component for Low-Frequency Noise Reduction. EUSIPCO (2019)
Antoine Houdard, Charles Bouveyron, Julie Delon
High-Dimensional Mixture Models for Unsupervised Image Denoising (HDMI). SIAM J. Imaging Sci. 11 (4) (2018)
Antoine Houdard, Andrés Almansa, Julie Delon
Demystifying the Asymptotic Behavior of Global Denoising. J. Math. Imaging Vis. 59 (3) (2017)

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Publication Activity (10 Years)

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Antoine Houdard