Almansa, Andres

8 publications

ICCV 2025 LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization Alessio Spagnoletti, Jean Prost, Andrés Almansa, Nicolas Papadakis, Marcelo Pereyra

WACV 2024 Fast Diffusion EM: A Diffusion Model for Blind Inverse Problems with Application to Deconvolution Charles Laroche, Andrés Almansa, Eva Coupeté

ICLR 2024 Plug-and-Play Posterior Sampling Under Mismatched Measurement and Prior Models Marien Renaud, Jiaming Liu, Valentin De Bortoli, Andres Almansa, Ulugbek Kamilov

WACV 2023 Deep Model-Based Super-Resolution with Non-Uniform Blur Charles Laroche, Andrés Almansa, Matias Tassano

ICCV 2023 Inverse Problem Regularization with Hierarchical Variational Autoencoders Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis

ECCVW 2018 Deep Depth from Defocus: How Can Defocus Blur Improve 3D Estimation Using Dense Neural Networks? Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat

CVPRW 2018 Joint Denoising and Decompression Using CNN Regularization Mario González, Javier Preciozzi, Pablo Musé, Andrés Almansa

CVPR 2014 Covariance Trees for 2D and 3D Processing Thierry Guillemot, Andres Almansa, Tamy Boubekeur