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Training Deep Learning Based Denoisers without Ground Truth Data

Training Deep Learning Based Denoisers without Ground Truth Data

4 March 2018
Shakarim Soltanayev
S. Chun
ArXivPDFHTML

Papers citing "Training Deep Learning Based Denoisers without Ground Truth Data"

14 / 14 papers shown
Title
Score-based Self-supervised MRI Denoising
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
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
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
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
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
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
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
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
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
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
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
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
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
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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