Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach-Reference-Cited by-同舟云学术

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Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach

Published:2023-11-30 Issue:4 Volume:16 Page:2247-2284
ISSN:1936-4954
Container-title:SIAM Journal on Imaging Sciences
language:en
Short-container-title:SIAM J. Imaging Sci.

Author:

Li Ji¹,Wang Weixi²,Ji Hui²^ORCID

Affiliation:

1. Department of Mathematics, National University of Singapore, Singapore. The author is now affiliated with the Academy for Multidisciplinary Studies of Capital Normal University, Beijing.

2. Department of Mathematics, National University of Singapore, Singapore.

Funder

Ministry of Education - Singapore

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,General Mathematics

Reference57 articles.

1. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation

2. Some Qualitative Properties for the Total Variation Flow

3. Blind Image Deconvolution Using Deep Generative Priors

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient image restoration via non-convex total variation regularization and ADMM optimization;Applied Mathematical Modelling;2024-08

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