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

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

SCOTCH and SODA: A Transformer Video Shadow Detection Framework. - Lihao Liu; Jean Prost; Lei Zhu 003; Nicolas Papadakis; Pietro Liò; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (CVPR, 2023)

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

Image restoration with deep generative models. (Restauration d'images avec des modèles génératifs profonds). - Jean Prost (2023)

Plug-and-Play image restoration with Stochastic deNOising REgularization. - Marien Renaud; Jean Prost; Arthur Leclaire; Nicolas Papadakis (ICML, 2024)

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

LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization. - Alessio Spagnoletti; Jean Prost; Andrés Almansa; Nicolas Papadakis; Marcelo Pereyra (CoRR, 2025)