5 papers
Self-Supervised Super-Resolution for Sentinel-5P Hyperspectral Images
Hyam Omar Ali, Antoine Crosnier, Romain Abraham +3
Sentinel-5P (S5P) plays a critical role in atmospheric monitoring; however, its spatial resolution limits fine-scale analysis. Existing super-resolution (SR) approaches rely on sup…
Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions
Emile Pierret, Bruno Galerne
Used as priors for Bayesian inverse problems, diffusion models have recently attracted considerable attention in the literature. Their flexibility and high variance enable them to…
Depth Separable architecture for Sentinel-5P Super-Resolution
Hyam Omar Ali, Romain Abraham, Bruno Galerne
Sentinel-5P (S5P) satellite provides atmospheric measurements for air quality and climate monitoring. While the S5P satellite offers rich spectral resolution, it inherits physical…
Stochastic super-resolution for Gaussian microtextures
Emile Pierret, Bruno Galerne
Super-Resolution (SR) is the problem that consists in reconstructing images that have been degraded by a zoom-out operator. This is an ill-posed problem that does not have a unique…
Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors
Emile Pierret, Bruno Galerne
Diffusion or score-based models recently showed high performance in image generation. They rely on a forward and a backward stochastic differential equations (SDE). The sampling of…