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Learning few-step posterior samplers by unfolding and distillation of diffusion models
v1v2 (latest)

Learning few-step posterior samplers by unfolding and distillation of diffusion models

3 July 2025
Charlesquin Kemajou Mbakam
Jonathan Spence
Marcelo Pereyra
ArXiv (abs)PDFHTMLGithub

Papers citing "Learning few-step posterior samplers by unfolding and distillation of diffusion models"

2 / 2 papers shown
Title
Bayesian model selection and misspecification testing in imaging inverse problems only from noisy and partial measurements
Bayesian model selection and misspecification testing in imaging inverse problems only from noisy and partial measurements
Tom Sprunck
Marcelo Pereyra
T. Liaudat
122
0
0
31 Oct 2025
LVTINO: LAtent Video consisTency INverse sOlver for High Definition Video Restoration
LVTINO: LAtent Video consisTency INverse sOlver for High Definition Video Restoration
Alessio Spagnoletti
Andrés Almansa
Marcelo Pereyra
DiffMVGen
160
0
0
01 Oct 2025
1