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pro vyhledávání: '"Pierret, Emile"'
Autor:
Pierret, Emile, Galerne, Bruno
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 solution, and numerical approaches rely on a prior on high-resolution
Externí odkaz:
http://arxiv.org/abs/2405.15399
Autor:
Pierret, Emile, Galerne, Bruno
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 a data distribution is achieved by solving numerically the backward S
Externí odkaz:
http://arxiv.org/abs/2405.14250
Autor:
Pierret, Emile, Galerne, Bruno
Super-resolution (SR) is an ill-posed inverse problem which consists in proposing high-resolution images consistent with a given low-resolution one. While most SR algorithms are deterministic, stochastic SR deals with designing a stochastic sampler g
Externí odkaz:
http://arxiv.org/abs/2303.01831
Autor:
Carpio, Ana, Pierret, Emile
Publikováno v:
In Results in Physics April 2022 35
Autor:
Émile Pierret, Bruno Galerne
Super-resolution (SR) is an ill-posed inverse problem which consists in proposing high-resolution images consistent with a given low-resolution one. While most SR algorithms are deterministic, stochastic SR deals with designing a stochastic sampler g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a2b65af61df87ddd5c21bfb7f8a4e92