Jean Prost

12 papers A* 3Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization.
CoRR
Alessio Spagnoletti, Jean Prost, Andrés Almansa, Nicolas Papadakis, Marcelo Pereyra
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 A* conf
Plug-and-Play image restoration with Stochastic deNOising REgularization.
ICML
Marien Renaud, Jean Prost, Arthur Leclaire, Nicolas Papadakis
2024 J jnl
Plug-and-Play image restoration with Stochastic deNOising REgularization.
CoRR
Marien Renaud, Jean Prost, Arthur Leclaire, Nicolas Papadakis
2023 — —
Image restoration with deep generative models. (Restauration d'images avec des modèles génératifs profonds).
Jean Prost
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 A* conf
SCOTCH and SODA: A Transformer Video Shadow Detection Framework.
CVPR
Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2022 J jnl
Diverse super-resolution with pretrained deep hiererarchical VAEs.
CoRR
Jean Prost, Antoine Houdard, Nicolas Papadakis, Andrés Almansa
2022 J jnl
SCOTCH and SODA: A Transformer Video Shadow Detection Framework.
CoRR
Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
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