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. 1901.11365
  4. Cited By
Noise2Self: Blind Denoising by Self-Supervision
v1v2 (latest)

Noise2Self: Blind Denoising by Self-Supervision

30 January 2019
Joshua D. Batson
Loic A. Royer
ArXiv (abs)PDFHTML

Papers citing "Noise2Self: Blind Denoising by Self-Supervision"

50 / 131 papers shown
Title
Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
Jipeng Li
Yanning Shen
DiffMAI4CE
49
0
0
28 May 2025
Rotation-Equivariant Self-Supervised Method in Image Denoising
Rotation-Equivariant Self-Supervised Method in Image Denoising
Hanze Liu
J. Fu
Qi Xie
Deyu Meng
SSL
46
0
0
26 May 2025
Measurement to Meaning: A Validity-Centered Framework for AI Evaluation
Measurement to Meaning: A Validity-Centered Framework for AI Evaluation
Olawale Salaudeen
Anka Reuel
Ahmed M. Ahmed
Suhana Bedi
Zachary Robertson
Siyang Song
Ben Domingue
Angelina Wang
Sanmi Koyejo
ELM
77
0
0
13 May 2025
Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising
Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising
Xiangbin Wei
Yuanfeng Wang
Ao XU
Lingyu Zhu
Dongyong Sun
K. Li
Yang Li
Qi Qin
DiffM
94
0
0
12 Mar 2025
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation
Tianyu Chen
Yasi Zhang
Ziyi Wang
Ying Nian Wu
Oscar Leong
Mingyuan Zhou
DiffM
155
2
0
10 Mar 2025
Noise2Score3D:Unsupervised Tweedie's Approach for Point Cloud Denoising
Noise2Score3D:Unsupervised Tweedie's Approach for Point Cloud Denoising
Xiangbin Wei
414
0
0
24 Feb 2025
Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising
Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising
Yansen Wang
Hongyuan Wang
Lizhi Wang
Xinyu Wang
Lin Zhu
Wanxuan Lu
Hua Huang
170
1
0
21 Dec 2024
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
181
2
0
21 Dec 2024
J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume
J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume
Xiwei Liu
Mohamad Kassab
Min Xu
Qirong Ho
512
0
0
22 Nov 2024
Robust Neural Processes for Noisy Data
Robust Neural Processes for Noisy Data
Chen Shapira
Dan Rosenbaum
115
2
0
03 Nov 2024
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
76
0
0
23 Feb 2024
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography
  Reconstruction
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction
Hang Xu
A. Perelli
45
1
0
19 Dec 2023
Tell Me What You See: Text-Guided Real-World Image Denoising
Tell Me What You See: Text-Guided Real-World Image Denoising
E. Yosef
Raja Giryes
DiffM
151
2
0
15 Dec 2023
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
90
5
0
12 Dec 2023
Test-Time Degradation Adaptation for Open-Set Image Restoration
Test-Time Degradation Adaptation for Open-Set Image Restoration
Yuanbiao Gou
Haiyu Zhao
Boyun Li
Xinyan Xiao
Xi Peng
VLM
97
10
0
02 Dec 2023
Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise
Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise
Benjamin Salmon
Alexander Krull
146
1
0
11 Oct 2023
DeepContrast: Deep Tissue Contrast Enhancement using Synthetic Data
  Degradations and OOD Model Predictions
DeepContrast: Deep Tissue Contrast Enhancement using Synthetic Data Degradations and OOD Model Predictions
N. P. Martins
Y. Kalaidzidis
M. Zerial
Florian Jug
MedIm
112
0
0
16 Aug 2023
Score Priors Guided Deep Variational Inference for Unsupervised
  Real-World Single Image Denoising
Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising
Junting Cheng
Tao Liu
Shan Tan
DiffM
86
14
0
09 Aug 2023
Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive
  Review
Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review
Dan Zhang
Fangfang Zhou
Felix Albu
Yuan-Gu Wei
Xiaohu Yang
Yuan Gu
Qiang Li
119
25
0
01 Aug 2023
SVNR: Spatially-variant Noise Removal with Denoising Diffusion
SVNR: Spatially-variant Noise Removal with Denoising Diffusion
Naama Pearl
Ya. A. Brodsky
Dana Berman
A. Zomet
Alex Rav-Acha
Daniel Cohen-Or
Dani Lischinski
DiffM
62
5
0
28 Jun 2023
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
Giannis Daras
Kulin Shah
Y. Dagan
Aravind Gollakota
A. Dimakis
Adam R. Klivans
DiffM
124
75
0
30 May 2023
SS-BSN: Attentive Blind-Spot Network for Self-Supervised Denoising with
  Nonlocal Self-Similarity
SS-BSN: Attentive Blind-Spot Network for Self-Supervised Denoising with Nonlocal Self-Similarity
Young Joo Han
Ha-Jin Yu
55
11
0
17 May 2023
A Comparison of Image Denoising Methods
A Comparison of Image Denoising Methods
Zhaoming Kong
Fang Deng
Haomin Zhuang
Jun Yu
Lifang He
Xiaowei Yang
103
7
0
18 Apr 2023
MM-BSN: Self-Supervised Image Denoising for Real-World with Multi-Mask
  based on Blind-Spot Network
MM-BSN: Self-Supervised Image Denoising for Real-World with Multi-Mask based on Blind-Spot Network
Dan Zhang
Fangfang Zhou
Yuwen Jiang
Zhengming Fu
108
49
0
04 Apr 2023
Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising
  in Real-World Scenarios
Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
Shiyan Chen
Jiyuan Zhang
Zhaofei Yu
Tiejun Huang
126
8
0
29 Mar 2023
Blind2Sound: Self-Supervised Image Denoising without Residual Noise
Blind2Sound: Self-Supervised Image Denoising without Residual Noise
Zejin Wang
Jiazheng Liu
Hao Zhai
Hua Han
76
1
0
09 Mar 2023
One-Pot Multi-Frame Denoising
One-Pot Multi-Frame Denoising
Lujia Jin
Shi-Jing Zhao
Lei Zhu
Qian Chen
Yanye Lu
51
1
0
18 Feb 2023
DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative
  Diffusion Models
DDM2^22: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
Tiange Xiang
Mahmut Yurt
Ali B. Syed
Kawin Setsompop
Akshay S. Chaudhari
MedImDiffM
112
56
0
06 Feb 2023
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey
  Paper --
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper --
Michael Elad
Bahjat Kawar
Gregory Vaksman
98
82
0
09 Jan 2023
Noise2Contrast: Multi-Contrast Fusion Enables Self-Supervised
  Tomographic Image Denoising
Noise2Contrast: Multi-Contrast Fusion Enables Self-Supervised Tomographic Image Denoising
Fabian Wagner
Mareike Thies
Laura Pfaff
Noah Maul
Sabrina Pechmann
...
D. Weidner
Georgiana Neag
S. Uderhardt
Jang-Hwan Choi
Andreas Maier
73
5
0
09 Dec 2022
Domino Denoise: An Accurate Blind Zero-Shot Denoiser using Domino
  Tilings
Domino Denoise: An Accurate Blind Zero-Shot Denoiser using Domino Tilings
Jason Lequyer
Wen-Hsin Hsu
Reuben Philip
A. C. Erpf
L. Pelletier
124
0
0
05 Dec 2022
μSplit: efficient image decomposition for microscopy data
μSplit: efficient image decomposition for microscopy data
Ashesh Ashesh
Alexander Krull
M. D. Sante
F. Pasqualini
Florian Jug
80
4
0
23 Nov 2022
Patch-Craft Self-Supervised Training for Correlated Image Denoising
Patch-Craft Self-Supervised Training for Correlated Image Denoising
Gregory Vaksman
Michael Elad
117
7
0
17 Nov 2022
Evaluating Unsupervised Denoising Requires Unsupervised Metrics
Evaluating Unsupervised Denoising Requires Unsupervised Metrics
A. Marcos-Morales
M. Leibovich
S. Mohan
Joshua L. Vincent
P. Haluai
Mai Tan
Peter A Crozier
C. Fernandez‐Granda
51
3
0
11 Oct 2022
Deep Variation Prior: Joint Image Denoising and Noise Variance
  Estimation without Clean Data
Deep Variation Prior: Joint Image Denoising and Noise Variance Estimation without Clean Data
Rihuan Ke
53
1
0
19 Sep 2022
Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising
Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising
Ruizhou Liu
Qiang Ma
Zhi-Qi Cheng
Y. Lyu
Jianji Wang
S. Kevin Zhou
79
1
0
30 Aug 2022
Self-supervised training of deep denoisers in multi-coil MRI considering noise correlations
Self-supervised training of deep denoisers in multi-coil MRI considering noise correlations
Juhyung Park
Dongwon Park
Hyeong-Geol Shin
Eun-Jung Choi
Hongjun An
Minjun Kim
55
4
0
16 Aug 2022
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
137
1
0
03 Aug 2022
Deep learning-based denoising for fast time-resolved flame emission
  spectroscopy in high-pressure combustion environment
Deep learning-based denoising for fast time-resolved flame emission spectroscopy in high-pressure combustion environment
Taekeun Yoon
Seon Woong Kim
Ho-June Byun
Younsik Kim
Campbell D. Carter
H. Do
AI4CE
37
15
0
29 Jul 2022
RCRN: Real-world Character Image Restoration Network via Skeleton
  Extraction
RCRN: Real-world Character Image Restoration Network via Skeleton Extraction
D. Shi
Xiaolei Diao
Hao Tang
Xiaomin Li
Hao Xing
Hao Xu
48
20
0
16 Jul 2022
Don't Pay Attention to the Noise: Learning Self-supervised
  Representations of Light Curves with a Denoising Time Series Transformer
Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer
M. Morvan
N. Nikolaou
K. H. Yip
Ingo P. Waldmann
AI4TS
128
11
0
06 Jul 2022
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded
  Hessian for Stripe Artifact Removal in Light-sheet Microscopy
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy
Yu Liu
K. Weiss
Nassir Navab
Carsten Marr
Jan Huisken
Tingying Peng
62
2
0
27 Jun 2022
Faster Diffusion Cardiac MRI with Deep Learning-based breath hold
  reduction
Faster Diffusion Cardiac MRI with Deep Learning-based breath hold reduction
Michael Tanzer
Pedro F. Ferreira
Andrew D. Scott
Z. Khalique
Maria Dwornik
D. Pennell
Guang Yang
Daniel Rueckert
S. Nielles-Vallespin
MedIm
48
3
0
21 Jun 2022
Robust Deep Ensemble Method for Real-world Image Denoising
Robust Deep Ensemble Method for Real-world Image Denoising
Pengju Liu
Hongzhi Zhang
Jinghui Wang
Yuzhi Wang
Dongwei Ren
W. Zuo
77
12
0
08 Jun 2022
Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images
Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images
Ali Maleky
Shayan Kousha
M. S. Brown
Marcus A. Brubaker
VLMDiffM
62
21
0
02 Jun 2022
Supervised Denoising of Diffusion-Weighted Magnetic Resonance Images
  Using a Convolutional Neural Network and Transfer Learning
Supervised Denoising of Diffusion-Weighted Magnetic Resonance Images Using a Convolutional Neural Network and Transfer Learning
Jakub Jurek
A. Materka
Kamil Ludwisiak
A. Majos
K. Gorczewski
K. Cepuch
A. Zawadzka
OODDiffMMedIm
41
12
0
01 Jun 2022
A hybrid approach to seismic deblending: when physics meets
  self-supervision
A hybrid approach to seismic deblending: when physics meets self-supervision
N. Luiken
M. Ravasi
C. Birnie
82
6
0
30 May 2022
A theoretical framework for self-supervised MR image reconstruction
  using sub-sampling via variable density Noisier2Noise
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise
Charles Millard
M. Chiew
150
37
0
20 May 2022
Speckle Image Restoration without Clean Data
Speckle Image Restoration without Clean Data
Tsung-Ming Tai
Yun-Jie Jhang
Wen-Jyi Hwang
Chau-Jern Cheng
89
4
0
18 May 2022
Self-Supervised Super-Resolution for Multi-Exposure Push-Frame
  Satellites
Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites
N. Nguyen
J. Anger
Axel Davy
Pablo Arias
Gabriele Facciolo
SupR
107
16
0
04 May 2022
123
Next