Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors
Diffusion or score-based models recently showed high performance in image generation. They rely on a forward and a backward stochastic …
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@inproceedings{Pierret_Galerne_diffusion_models_Gaussian_exact_solutions_errors_ICML2025,
title={Diffusion models for {G}aussian distributions: Exact solutions and Wasserstein errors},
author={Emile Pierret and Bruno Galerne},
booktitle={Forty-second International Conference on Machine Learning},
year={2025},
}
Stochastic super-resolution for Gaussian microtextures
Super-Resolution (SR) is the problem that consists in reconstructing images that have been degraded by a zoom-out operator. This is an …
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Poster
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@article{Pierret_Galerne_stochastic_superresolution_gaussian_microtextures_SIIMS_2025,
author = {Pierret, \'{E}mile and Galerne, Bruno},
title = {Stochastic Super-resolution for {G}aussian Microtextures},
journal = {SIAM Journal on Imaging Sciences},
volume = {18},
number = {2},
pages = {1176-1207},
year = {2025},
doi = {10.1137/24M1657407},
}
