ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1811.10980
  4. Cited By
Noise2Void - Learning Denoising from Single Noisy Images

Noise2Void - Learning Denoising from Single Noisy Images

27 November 2018
Alexander Krull
T. Buchholz
Florian Jug
ArXivPDFHTML

Papers citing "Noise2Void - Learning Denoising from Single Noisy Images"

29 / 329 papers shown
Title
Unpaired Image Super-Resolution using Pseudo-Supervision
Unpaired Image Super-Resolution using Pseudo-Supervision
S. Maeda
SupR
21
155
0
26 Feb 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
NoiseBreaker: Gradual Image Denoising Guided by Noise Analysis
NoiseBreaker: Gradual Image Denoising Guided by Noise Analysis
Florian Lemarchand
Erwan Nogues
Maxime Pelcat
16
5
0
18 Feb 2020
Reconstructing the Noise Manifold for Image Denoising
Reconstructing the Noise Manifold for Image Denoising
Ioannis Marras
Grigorios G. Chrysos
I. Alexiou
Greg Slabaugh
S. Zafeiriou
GAN
AI4CE
19
5
0
11 Feb 2020
Noise2Inverse: Self-supervised deep convolutional denoising for
  tomography
Noise2Inverse: Self-supervised deep convolutional denoising for tomography
A. Hendriksen
D. Pelt
K. Batenburg
SupR
14
14
0
31 Jan 2020
Real-time Linear Operator Construction and State Estimation with the
  Kalman Filter
Real-time Linear Operator Construction and State Estimation with the Kalman Filter
Tsuyoshi Ishizone
Kazuyuki Nakamura
16
0
0
30 Jan 2020
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional
  Neural Networks
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
Andrea Bordone Molini
D. Valsesia
Giulia Fracastoro
E. Magli
11
21
0
15 Jan 2020
Self-Supervised Fast Adaptation for Denoising via Meta-Learning
Self-Supervised Fast Adaptation for Denoising via Meta-Learning
Seunghwan Lee
Donghyeon Cho
Jiwon Kim
Tae Hyun Kim
OOD
24
13
0
09 Jan 2020
First image then video: A two-stage network for spatiotemporal video
  denoising
First image then video: A two-stage network for spatiotemporal video denoising
Ce Wang
S. Kevin Zhou
Zhi-Qi Cheng
VGen
27
10
0
02 Jan 2020
Noise2Blur: Online Noise Extraction and Denoising
Noise2Blur: Online Noise Extraction and Denoising
Huangxing Lin
Weihong Zeng
Xinghao Ding
Xueyang Fu
Yue Huang
John Paisley
NoLa
VLM
6
4
0
03 Dec 2019
Fully Unsupervised Probabilistic Noise2Void
Fully Unsupervised Probabilistic Noise2Void
M. Prakash
Manan Lalit
P. Tomančák
Alexander Krull
Florian Jug
DiffM
26
44
0
27 Nov 2019
Leveraging Self-supervised Denoising for Image Segmentation
Leveraging Self-supervised Denoising for Image Segmentation
M. Prakash
T. Buchholz
Manan Lalit
P. Tomančák
Florian Jug
Alexander Krull
21
17
0
27 Nov 2019
Noise Robust Generative Adversarial Networks
Noise Robust Generative Adversarial Networks
Takuhiro Kaneko
Tatsuya Harada
NoLa
OOD
27
30
0
26 Nov 2019
Attenuating Random Noise in Seismic Data by a Deep Learning Approach
Attenuating Random Noise in Seismic Data by a Deep Learning Approach
Xing Zhao
Ping Lu
Yanyan Zhang
Jianxiong Chen
Xiaochen Li
16
2
0
28 Oct 2019
Noisier2Noise: Learning to Denoise from Unpaired Noisy Data
Noisier2Noise: Learning to Denoise from Unpaired Noisy Data
N. Moran
Dan Schmidt
Yu Zhong
Patrick Coady
30
232
0
25 Oct 2019
OpenDenoising: an Extensible Benchmark for Building Comparative Studies
  of Image Denoisers
OpenDenoising: an Extensible Benchmark for Building Comparative Studies of Image Denoisers
Florian Lemarchand
Eduardo Fernandes Montesuma
Maxime Pelcat
Erwan Nogues
9
6
0
18 Oct 2019
Self-Supervised Deep Depth Denoising
Self-Supervised Deep Depth Denoising
V. Sterzentsenko
Leonidas Saroglou
Anargyros Chatzitofis
Spyridon Thermos
N. Zioulis
Alexandros Doumanoglou
D. Zarpalas
P. Daras
6
43
0
03 Sep 2019
Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep
  Image Prior
Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior
Tatsuya Yokota
H. Hontani
Qibin Zhao
A. Cichocki
24
11
0
08 Aug 2019
Self-supervised Hyperspectral Image Restoration using Separable Image
  Prior
Self-supervised Hyperspectral Image Restoration using Separable Image Prior
Ryuji Imamura
Tatsuki Itasaka
M. Okuda
20
8
0
01 Jul 2019
Boosting CNN beyond Label in Inverse Problems
Boosting CNN beyond Label in Inverse Problems
Eunju Cha
Jaeduck Jang
Junho Lee
Eunha Lee
J. C. Ye
SSL
UQCV
13
8
0
18 Jun 2019
Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted
  Image
Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted Image
Jun Xu
Yuan Huang
Ming-Ming Cheng
Li Liu
Fan Zhu
Xingsong Hou
Ling Shao
SSL
26
24
0
17 Jun 2019
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
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy
  Images
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images
Sungmin Cha
Taeeon Park
Byeongjoon Kim
J. Baek
Taesup Moon
VLM
19
26
0
25 May 2019
Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images
Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images
T. Ehret
Axel Davy
Pablo Arias
Gabriele Facciolo
19
15
0
13 May 2019
Improving Deep Speech Denoising by Noisy2Noisy Signal Mapping
Improving Deep Speech Denoising by Noisy2Noisy Signal Mapping
N. Alamdari
A. Azarang
N. Kehtarnavaz
30
42
0
26 Apr 2019
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
Pedro Hermosilla
Tobias Ritschel
Timo Ropinski
3DPC
13
127
0
16 Apr 2019
Noise2Self: Blind Denoising by Self-Supervision
Noise2Self: Blind Denoising by Self-Supervision
Joshua D. Batson
Loic A. Royer
14
648
0
30 Jan 2019
High-Quality Self-Supervised Deep Image Denoising
High-Quality Self-Supervised Deep Image Denoising
S. Laine
Tero Karras
J. Lehtinen
Timo Aila
17
336
0
29 Jan 2019
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
Previous
1234567