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Learn from Unpaired Data for Image Restoration: A Variational Bayes
  Approach

Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach

21 April 2022
Dihan Zheng
Xiaowen Zhang
Kaisheng Ma
Chenglong Bao
    DiffM
ArXivPDFHTML

Papers citing "Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach"

5 / 5 papers shown
Title
Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising
Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising
Tong Li
Lizhi Wang
Zhiyuan Xu
Lin Zhu
Wanxuan Lu
Hua Huang
82
2
0
21 Dec 2024
Masked and Shuffled Blind Spot Denoising for Real-World Images
Masked and Shuffled Blind Spot Denoising for Real-World Images
Hamadi Chihaoui
Paolo Favaro
19
4
0
15 Apr 2024
Low-Light Image Enhancement with Normalizing Flow
Low-Light Image Enhancement with Normalizing Flow
Yufei Wang
Renjie Wan
Wenhan Yang
Haoliang Li
Lap-Pui Chau
Alex C. Kot
89
351
0
13 Sep 2021
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and
  Results
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr
Martin Danelljan
Radu Timofte
Namhyuk Ahn
Dongwoon Bai
...
Tongtong Zhao
Yuanbo Zhou
Haijie Zhuo
Ziyao Zong
Xueyi Zou
SupR
69
168
0
05 May 2020
Unsupervised Learning for Real-World Super-Resolution
Unsupervised Learning for Real-World Super-Resolution
Andreas Lugmayr
Martin Danelljan
Radu Timofte
SSL
SupR
127
167
0
20 Sep 2019
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