Demystifying the Asymptotic Behavior of Global Denoising. - Antoine Houdard; Andrés Almansa; Julie Delon (J. Math. Imaging Vis., 2017)

High-Dimensional Mixture Models for Unsupervised Image Denoising (HDMI). - Antoine Houdard; Charles Bouveyron; Julie Delon (SIAM J. Imaging Sci., 2018)

Some advances in patch-based image denoising. (Quelques avancées dans le débruitage d'image par patchs). - Antoine Houdard (2018)

Statistical Modeling of the Patches DC Component for Low-Frequency Noise Reduction. - Antoine Houdard (EUSIPCO, 2019)

Wasserstein Generative Models for Patch-Based Texture Synthesis. - Antoine Houdard; Arthur Leclaire; Nicolas Papadakis; Julien Rabin (SSVM, 2021)

Learning Local Regularization for Variational Image Restoration. - Jean Prost; Antoine Houdard; Andrés Almansa; Nicolas Papadakis (SSVM, 2021)

On the Existence of Optimal Transport Gradient for Learning Generative Models. - Antoine Houdard; Arthur Leclaire; Nicolas Papadakis; Julien Rabin (CoRR, 2021)

Diverse super-resolution with pretrained deep hiererarchical VAEs. - Jean Prost; Antoine Houdard; Nicolas Papadakis; Andrés Almansa (CoRR, 2022)

Wasserstein Patch Prior for Image Superresolution. - Johannes Hertrich; Antoine Houdard; Claudia Redenbach (IEEE Trans. Computational Imaging, 2022)

Inverse problem regularization with hierarchical variational autoencoders. - Jean Prost; Antoine Houdard; Andrés Almansa; Nicolas Papadakis (ICCV, 2023)

Real-Time Neural Materials using Block-Compressed Features. - Clément Weinreich; Louis de Oliveira; Antoine Houdard; Georges Nader (CoRR, 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)

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., 2023)

Efficient Posterior Sampling for Diverse Super-Resolution with Hierarchical VAE Prior. - Jean Prost; Antoine Houdard; Andrés Almansa; Nicolas Papadakis (VISIGRAPP (3): VISAPP, 2024)

Real-Time Neural Materials using Block-Compressed Features. - Clément Weinreich; Leonardo de Oliveira; Antoine Houdard; Georges Nader (Comput. Graph. Forum, 2024)