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High-Quality Self-Supervised Deep Image Denoising

High-Quality Self-Supervised Deep Image Denoising

29 January 2019
S. Laine
Tero Karras
J. Lehtinen
Timo Aila
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Papers citing "High-Quality Self-Supervised Deep Image Denoising"

12 / 62 papers shown
Title
Meta-Generating Deep Attentive Metric for Few-shot Classification
Meta-Generating Deep Attentive Metric for Few-shot Classification
Lei Zhang
Fei Zhou
Wei Wei
Yanning Zhang
VLM
42
28
0
03 Dec 2020
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising
Yaochen Xie
Zhengyang Wang
Shuiwang Ji
27
110
0
22 Oct 2020
Improving Blind Spot Denoising for Microscopy
Improving Blind Spot Denoising for Microscopy
A. Goncharova
A. Honigmann
Florian Jug
Alexander Krull
33
26
0
19 Aug 2020
Self-supervised Denoising via Diffeomorphic Template Estimation:
  Application to Optical Coherence Tomography
Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography
Guillaume Gisbert
Neel Dey
H. Ishikawa
J. Schuman
J. Fishbaugh
Guido Gerig
22
6
0
18 Aug 2020
Image Deconvolution via Noise-Tolerant Self-Supervised Inversion
Image Deconvolution via Noise-Tolerant Self-Supervised Inversion
H. Kobayashi
A. Solak
Joshua D. Batson
Loic A. Royer
16
13
0
11 Jun 2020
Adaptive Partial Scanning Transmission Electron Microscopy with
  Reinforcement Learning
Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning
Jeffrey M. Ede
29
12
0
06 Apr 2020
Patch-based Non-Local Bayesian Networks for Blind Confocal Microscopy
  Denoising
Patch-based Non-Local Bayesian Networks for Blind Confocal Microscopy Denoising
S. Izadi
Ghassan Hamarneh
BDL
28
4
0
25 Mar 2020
Blur, Noise, and Compression Robust Generative Adversarial Networks
Blur, Noise, and Compression Robust Generative Adversarial Networks
Takuhiro Kaneko
Tatsuya Harada
12
17
0
17 Mar 2020
Self-Supervised Poisson-Gaussian Denoising
Self-Supervised Poisson-Gaussian Denoising
Wesley Khademi
Sonia Rao
Clare Minnerath
Guy M. Hagen
Jonathan Ventura
23
30
0
21 Feb 2020
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising
Alexander Krull
Tomáš Vičar
Florian Jug
DiffM
25
165
0
03 Jun 2019
There Are Many Consistent Explanations of Unlabeled Data: Why You Should
  Average
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun
Marc Finzi
Pavel Izmailov
A. Wilson
208
243
0
14 Jun 2018
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
275
2,553
0
25 Jan 2016
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