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Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

13 August 2016
K. Zhang
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
    SupR
ArXivPDFHTML

Papers citing "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

50 / 1,687 papers shown
Title
All-in-one Multi-degradation Image Restoration Network via Hierarchical
  Degradation Representation
All-in-one Multi-degradation Image Restoration Network via Hierarchical Degradation Representation
Cheng Zhang
Yu Zhu
Qingsen Yan
Jinqiu Sun
Yanning Zhang
31
22
0
06 Aug 2023
Recurrent Spike-based Image Restoration under General Illumination
Recurrent Spike-based Image Restoration under General Illumination
Lin Zhu
Yunlong Zheng
Mengyue Geng
Lizhi Wang
Huan Huang
25
6
0
06 Aug 2023
Focus on Content not Noise: Improving Image Generation for Nuclei
  Segmentation by Suppressing Steganography in CycleGAN
Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN
Jonas Utz
Tobias Weise
M. Schlereth
Fabian Wagner
Mareike Thies
Mingxuan Gu
S. Uderhardt
Katharina Breininger
MedIm
13
2
0
03 Aug 2023
Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis
  Model Using Generated Cases
Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases
Haiwen Du
Zheng Ju
Yu An
Honghui Du
Dongjie Zhu
Zhaoshuo Tian
Aonghus Lawlor
Ruihai Dong
16
0
0
02 Aug 2023
On the use of deep learning for phase recovery
On the use of deep learning for phase recovery
Kaiqiang Wang
Li Song
Chutian Wang
Zhenbo Ren
Guangyuan Zhao
...
Jianglei Di
George Barbastathis
Renjie Zhou
Jianlin Zhao
E. Lam
15
71
0
02 Aug 2023
Decomposition Ascribed Synergistic Learning for Unified Image
  Restoration
Decomposition Ascribed Synergistic Learning for Unified Image Restoration
Jinghao Zhang
Fengmei Zhao
21
2
0
01 Aug 2023
Domain Adaptation based on Human Feedback for Enhancing Generative Model
  Denoising Abilities
Domain Adaptation based on Human Feedback for Enhancing Generative Model Denoising Abilities
Hyun-Cheol Park
S. Kang
DiffM
22
0
0
01 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
X. Yang
Yuan Gu
Qiang Li
27
19
0
01 Aug 2023
Random Sub-Samples Generation for Self-Supervised Real Image Denoising
Random Sub-Samples Generation for Self-Supervised Real Image Denoising
Yizhong Pan
Xiao Liu
Xiangyu Liao
Yuanzhouhan Cao
Chao Ren
DiffM
19
25
0
31 Jul 2023
Towards General Low-Light Raw Noise Synthesis and Modeling
Towards General Low-Light Raw Noise Synthesis and Modeling
Feng Zhang
Bin Xu
Zhiqiang Li
Xinran Liu
Qingbo Lu
Changxin Gao
Nong Sang
DiffM
25
15
0
31 Jul 2023
Semantic Image Completion and Enhancement using GANs
Semantic Image Completion and Enhancement using GANs
Priyansh Saxena
Raahat Gupta
Akshat Maheshwari
Saumil Maheshwari
VLM
21
1
0
27 Jul 2023
A signal processing interpretation of noise-reduction convolutional
  neural networks
A signal processing interpretation of noise-reduction convolutional neural networks
Luis A. Zavala-Mondragón
Peter H. N. de With
Fons van der Sommen
25
0
0
25 Jul 2023
ResShift: Efficient Diffusion Model for Image Super-resolution by
  Residual Shifting
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
Zongsheng Yue
Jianyi Wang
Chen Change Loy
DiffM
21
211
0
23 Jul 2023
ResWCAE: Biometric Pattern Image Denoising Using Residual
  Wavelet-Conditioned Autoencoder
ResWCAE: Biometric Pattern Image Denoising Using Residual Wavelet-Conditioned Autoencoder
Youzhi Liang
Wen-Chieh Liang
14
18
0
23 Jul 2023
Self2Self+: Single-Image Denoising with Self-Supervised Learning and
  Image Quality Assessment Loss
Self2Self+: Single-Image Denoising with Self-Supervised Learning and Image Quality Assessment Loss
Jaekyun Ko
Sang-Hoon Lee
19
5
0
20 Jul 2023
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural
  Networks
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks
X. Tai
Hao Liu
Raymond H. F. Chan
30
10
0
18 Jul 2023
Deep Physics-Guided Unrolling Generalization for Compressed Sensing
Deep Physics-Guided Unrolling Generalization for Compressed Sensing
Bin Chen
Jie Song
Jingfen Xie
Jian Andrew Zhang
AI4CE
16
14
0
18 Jul 2023
On Point Affiliation in Feature Upsampling
On Point Affiliation in Feature Upsampling
Wenze Liu
Hao Lu
Yuliang Liu
Zhiguo Cao
3DPC
26
2
0
17 Jul 2023
Solving Inverse Problems with Latent Diffusion Models via Hard Data
  Consistency
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
Bowen Song
Soo Min Kwon
Zecheng Zhang
Xinyu Hu
Qing Qu
Liyue Shen
MedIm
34
100
0
16 Jul 2023
Untrained neural network embedded Fourier phase retrieval from few
  measurements
Untrained neural network embedded Fourier phase retrieval from few measurements
Liyuan Ma
Hongxia Wang
N.-Y. Leng
Ziyang Yuan
19
1
0
16 Jul 2023
A Novel Truncated Norm Regularization Method for Multi-channel Color
  Image Denoising
A Novel Truncated Norm Regularization Method for Multi-channel Color Image Denoising
Yiwen Shan
D. Hu
Zhi Wang
22
5
0
16 Jul 2023
Image Denoising and the Generative Accumulation of Photons
Image Denoising and the Generative Accumulation of Photons
Alexander Krull
H. Basevi
Benjamin Salmon
A. Zeug
F. Muller
Samuel Tonks
Leela Muppala
A. Leonardis
DiffM
20
7
0
13 Jul 2023
DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image
  Synthesis
DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis
Zhiwen Yang
Yang Zhou
Hui Zhang
Bingzheng Wei
Yubo Fan
Yan Xu
MedIm
25
3
0
11 Jul 2023
Stimulating the Diffusion Model for Image Denoising via Adaptive
  Embedding and Ensembling
Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
Tong Li
Hansen Feng
Lizhi Wang
Zhiwei Xiong
Huan Huang
DiffM
32
8
0
08 Jul 2023
Towards Deep Network Steganography: From Networks to Networks
Towards Deep Network Steganography: From Networks to Networks
Guobiao Li
Sheng Li
Meiling Li
Zhenxing Qian
Xinpeng Zhang
FedML
27
5
0
07 Jul 2023
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep
  Learning-Based Electrocardiogram Digitization
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization
Kshama Kodthalu Shivashankara
Deepanshi
Afagh Mehri Shervedani
Gari D. Clifford
Matthew A. Reyna
Reza Sameni
MedIm
17
39
0
04 Jul 2023
Unsupervised Coordinate-Based Video Denoising
Unsupervised Coordinate-Based Video Denoising
M. Aiyetigbo
Dineshchandar Ravichandran
Reda Chalhoub
Peter Kalivas
Nianyi Li
DiffM
19
0
0
01 Jul 2023
RBSR: Efficient and Flexible Recurrent Network for Burst
  Super-Resolution
RBSR: Efficient and Flexible Recurrent Network for Burst Super-Resolution
Ren-Rong Wu
Zhilu Zhang
Shuohao Zhang
Hongzhi Zhang
W. Zuo
17
6
0
30 Jun 2023
Spatially Varying Exposure with 2-by-2 Multiplexing: Optimality and
  Universality
Spatially Varying Exposure with 2-by-2 Multiplexing: Optimality and Universality
Xiangyu Qu
Yiheng Chi
Stanley H. Chan
22
6
0
30 Jun 2023
Designing Stable Neural Networks using Convex Analysis and ODEs
Designing Stable Neural Networks using Convex Analysis and ODEs
Ferdia Sherry
E. Celledoni
Matthias Joachim Ehrhardt
Davide Murari
B. Owren
Carola-Bibiane Schönlieb
12
11
0
29 Jun 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
21
5
0
28 Jun 2023
Evaluating Similitude and Robustness of Deep Image Denoising Models via
  Adversarial Attack
Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack
Jie Ning
Jiebao Sun
Yao Li
Zhichang Guo
Wangmeng Zuo
9
6
0
28 Jun 2023
Content-Aware Quantization Index Modulation:Leveraging Data Statistics
  for Enhanced Image Watermarking
Content-Aware Quantization Index Modulation:Leveraging Data Statistics for Enhanced Image Watermarking
Junlong Mao
Huihui Tang
Shangrong Lyu
Zhengzhong Zhou
Xiaochun Cao
11
4
0
28 Jun 2023
CeBed: A Benchmark for Deep Data-Driven OFDM Channel Estimation
CeBed: A Benchmark for Deep Data-Driven OFDM Channel Estimation
Amal Feriani
Di Wu
Steve Liu
Gregory Dudek
13
0
0
23 Jun 2023
PromptIR: Prompting for All-in-One Blind Image Restoration
PromptIR: Prompting for All-in-One Blind Image Restoration
Vaishnav Potlapalli
Syed Waqas Zamir
Salman Khan
F. Khan
VLM
37
91
0
22 Jun 2023
NILUT: Conditional Neural Implicit 3D Lookup Tables for Image
  Enhancement
NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement
Marcos V. Conde
Javier Vázquez-Corral
M. S. Brown
Radu Timofte
3DH
18
16
0
20 Jun 2023
CANDID: Correspondence AligNment for Deep-burst Image Denoising
CANDID: Correspondence AligNment for Deep-burst Image Denoising
Arijit Mallick
Raphael Braun
Hendrik PA Lensch
14
0
0
16 Jun 2023
Probabilistic-based Feature Embedding of 4-D Light Fields for
  Compressive Imaging and Denoising
Probabilistic-based Feature Embedding of 4-D Light Fields for Compressive Imaging and Denoising
Xianqiang Lyu
Junhui Hou
38
3
0
15 Jun 2023
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
Mingjian Zhu
Hanting Chen
Qiang Yan
Xu Huang
Guanyu Lin
Wei Li
Zhaopeng Tu
Hailin Hu
Jie Hu
Yunhe Wang
VLM
30
120
0
14 Jun 2023
HQ-50K: A Large-scale, High-quality Dataset for Image Restoration
HQ-50K: A Large-scale, High-quality Dataset for Image Restoration
Qinhong Yang
Dongdong Chen
Zhentao Tan
Qiankun Liu
Qi Chu
Jianmin Bao
Lu Yuan
Gang Hua
Nenghai Yu
31
13
0
08 Jun 2023
Normalization-Equivariant Neural Networks with Application to Image
  Denoising
Normalization-Equivariant Neural Networks with Application to Image Denoising
Sébastien Herbreteau
E. Moebel
Charles Kervrann
20
9
0
08 Jun 2023
Joint Channel Estimation and Feedback with Masked Token Transformers in
  Massive MIMO Systems
Joint Channel Estimation and Feedback with Masked Token Transformers in Massive MIMO Systems
Mingming Zhao
Lin Liu
Lifu Liu
Mengke Li
Qing-min Tian
11
0
0
08 Jun 2023
Invisible Image Watermarks Are Provably Removable Using Generative AI
Invisible Image Watermarks Are Provably Removable Using Generative AI
Xuandong Zhao
Kexun Zhang
Zihao Su
Saastha Vasan
Ilya Grishchenko
Christopher Kruegel
Giovanni Vigna
Yu-Xiang Wang
Lei Li
WIGM
22
49
0
02 Jun 2023
Direct Diffusion Bridge using Data Consistency for Inverse Problems
Direct Diffusion Bridge using Data Consistency for Inverse Problems
Hyungjin Chung
Jeongsol Kim
Jong Chul Ye
DiffM
17
50
0
31 May 2023
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction
  Methods
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods
Tobit Klug
Dogukan Atik
Reinhard Heckel
33
8
0
30 May 2023
Rethinking PRL: A Multiscale Progressively Residual Learning Network for
  Inverse Halftoning
Rethinking PRL: A Multiscale Progressively Residual Learning Network for Inverse Halftoning
Feiyu Li
Jun Yang
24
1
0
27 May 2023
SAR-to-Optical Image Translation via Thermodynamics-inspired Network
SAR-to-Optical Image Translation via Thermodynamics-inspired Network
Mingjin Zhang
Jiamin Xu
Chengyu He
Wenteng Shang
Yunsong Li
Xinbo Gao
DiffM
28
2
0
23 May 2023
WaveDM: Wavelet-Based Diffusion Models for Image Restoration
WaveDM: Wavelet-Based Diffusion Models for Image Restoration
Yi Huang
Jiancheng Huang
Jianzhuang Liu
Mingfu Yan
Yu Dong
Jiaxi Lv
Chaoqi Chen
Shifeng Chen
26
37
0
23 May 2023
A Dive into SAM Prior in Image Restoration
A Dive into SAM Prior in Image Restoration
Zeyu Xiao
Jiawang Bai
Zhihe Lu
Zhiwei Xiong
29
16
0
23 May 2023
Restore Anything Pipeline: Segment Anything Meets Image Restoration
Restore Anything Pipeline: Segment Anything Meets Image Restoration
Jiaxi Jiang
Christian Holz
VLM
29
8
0
22 May 2023
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