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1803.01314
Cited By
Training Deep Learning Based Denoisers without Ground Truth Data
4 March 2018
Shakarim Soltanayev
S. Chun
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Papers citing
"Training Deep Learning Based Denoisers without Ground Truth Data"
14 / 14 papers shown
Title
Score-based Self-supervised MRI Denoising
Jiachen Tu
Yaokun Shi
Fan Lam
DiffM
49
2
0
08 May 2025
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey
Sébastien Herbreteau
Charles Kervrann
OOD
35
0
0
23 Feb 2024
Deep Internal Learning: Deep Learning from a Single Input
Tom Tirer
Raja Giryes
Se Young Chun
Yonina C. Eldar
26
3
0
12 Dec 2023
Decay2Distill: Leveraging spatial perturbation and regularization for self-supervised image denoising
Manisha Das Chaity
Masud An Nur Islam Fahim
DiffM
19
1
0
03 Aug 2022
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements
Dongdong Chen
Julián Tachella
Mike E. Davies
OOD
17
59
0
25 Nov 2021
Deformation-Compensated Learning for Image Reconstruction without Ground Truth
Weijie Gan
Yu Sun
C. Eldeniz
Jiaming Liu
H. An
Ulugbek S. Kamilov
18
12
0
12 Jul 2021
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise
Jaeseok Byun
Sungmin Cha
Taesup Moon
28
42
0
23 May 2021
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate
Ruangrawee Kitichotkul
Christopher A. Metzler
Frank Ong
Gordon Wetzstein
UQCV
33
8
0
25 Oct 2020
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie
A. Jalal
Christopher A. Metzler
Richard G. Baraniuk
A. Dimakis
Rebecca Willett
11
518
0
12 May 2020
Self-Supervised Poisson-Gaussian Denoising
Wesley Khademi
Sonia Rao
Clare Minnerath
Guy M. Hagen
Jonathan Ventura
18
30
0
21 Feb 2020
Deep Learning on Image Denoising: An overview
Chunwei Tian
Lunke Fei
Wenxian Zheng
Yong-mei Xu
W. Zuo
Chia-Wen Lin
33
813
0
31 Dec 2019
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising
Alexander Krull
Tomáš Vičar
Florian Jug
DiffM
17
165
0
03 Jun 2019
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images
Magauiya Zhussip
Shakarim Soltanayev
S. Chun
OOD
10
3
0
07 Feb 2019
Unsupervised Learning with Stein's Unbiased Risk Estimator
Christopher A. Metzler
Ali Mousavi
Reinhard Heckel
Richard G. Baraniuk
OOD
19
103
0
26 May 2018
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