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  4. Cited By
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast
  and Effective Image Restoration
v1v2 (latest)

Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration

12 August 2015
Yunjin Chen
Thomas Pock
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration"

50 / 376 papers shown
Title
End-to-End JPEG Decoding and Artifacts Suppression Using Heterogeneous
  Residual Convolutional Neural Network
End-to-End JPEG Decoding and Artifacts Suppression Using Heterogeneous Residual Convolutional Neural Network
Jun Niu
61
5
0
01 Jul 2020
VPNet: Variable Projection Networks
VPNet: Variable Projection Networks
P. Kovács
Gergő Bognár
Christian Huber
M. Huemer
51
27
0
28 Jun 2020
A Flexible Framework for Designing Trainable Priors with Adaptive
  Smoothing and Game Encoding
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding
Bruno Lecouat
Jean Ponce
Julien Mairal
AI4CE
65
6
0
26 Jun 2020
A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems
A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems
Junqi Tang
Mike Davies
65
17
0
20 Jun 2020
Concatenated Attention Neural Network for Image Restoration
Concatenated Attention Neural Network for Image Restoration
Ying-jie Tian
Yiqi Wang
LinRui Yang
Zhiquan Qi
47
11
0
19 Jun 2020
Structured and Localized Image Restoration
Structured and Localized Image Restoration
Thomas Eboli
Alex Nowak-Vila
Jian Sun
Francis R. Bach
Jean Ponce
Alessandro Rudi
20
0
0
16 Jun 2020
Total Deep Variation: A Stable Regularizer for Inverse Problems
Total Deep Variation: A Stable Regularizer for Inverse Problems
Erich Kobler
Alexander Effland
K. Kunisch
Thomas Pock
MedIm
82
19
0
15 Jun 2020
Hyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale
  Mixture Modeling On-the-Fly for Moving Object Detection
Hyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale Mixture Modeling On-the-Fly for Moving Object Detection
Zerui Shao
Yi-fei Pu
Jiliu Zhou
Bihan Wen
Yi Zhang
83
8
0
14 Jun 2020
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE
Juntang Zhuang
Nicha Dvornek
Xiaoxiao Li
S. Tatikonda
X. Papademetris
James Duncan
BDL
127
112
0
03 Jun 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
119
537
0
12 May 2020
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and
  Results
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr
Martin Danelljan
Radu Timofte
Namhyuk Ahn
Dongwoon Bai
...
Tongtong Zhao
Yuanbo Zhou
Haijie Zhuo
Ziyao Zong
Xueyi Zou
SupR
150
172
0
05 May 2020
Deep Generative Adversarial Residual Convolutional Networks for
  Real-World Super-Resolution
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution
Rao Muhammad Umer
G. Foresti
C. Micheloni
70
52
0
03 May 2020
Neural Differential Equations for Single Image Super-resolution
Neural Differential Equations for Single Image Super-resolution
Teven Le Scao
47
2
0
02 May 2020
Identity Enhanced Residual Image Denoising
Identity Enhanced Residual Image Denoising
Saeed Anwar
C. P. Huynh
Fatih Porikli
SupR
73
16
0
26 Apr 2020
Attention Based Real Image Restoration
Attention Based Real Image Restoration
Saeed Anwar
Nick Barnes
L. Petersson
59
0
0
26 Apr 2020
Distributed Learning and Inference with Compressed Images
Distributed Learning and Inference with Compressed Images
Sudeep Katakol
Basem Elbarashy
Luis Herranz
Joost van de Weijer
Antonio M. López
21
9
0
22 Apr 2020
Exploiting Deep Generative Prior for Versatile Image Restoration and
  Manipulation
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
Xingang Pan
Xiaohang Zhan
Bo Dai
Dahua Lin
Chen Change Loy
Ping Luo
DiffM
123
365
0
30 Mar 2020
A Set-Theoretic Study of the Relationships of Image Models and Priors
  for Restoration Problems
A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems
Bihan Wen
Yanjun Li
Yuqi Li
Y. Bresler
26
6
0
29 Mar 2020
Deep Unfolding Network for Image Super-Resolution
Deep Unfolding Network for Image Super-Resolution
Peng Sun
Luc Van Gool
Radu Timofte
SupR
175
545
0
23 Mar 2020
Stochastic Frequency Masking to Improve Super-Resolution and Denoising
  Networks
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
Majed El Helou
Ruofan Zhou
Sabine Süsstrunk
109
45
0
16 Mar 2020
Camera Trace Erasing
Camera Trace Erasing
C. Chen
Zhiwei Xiong
Xiaoming Liu
Feng Wu
74
22
0
16 Mar 2020
Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive
  Instance Normalization
Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization
Yoonsik Kim
Jae Woong Soh
G. Park
N. Cho
OODAI4CE
114
185
0
26 Feb 2020
Image Stylization: From Predefined to Personalized
Image Stylization: From Predefined to Personalized
Ignacio Garcia Dorado
Pascal Getreuer
Bartlomiej Wronski
P. Milanfar
DiffM
52
4
0
22 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
Stefanos Zafeiriou
GANAI4CE
33
5
0
11 Feb 2020
Translating Diffusion, Wavelets, and Regularisation into Residual
  Networks
Translating Diffusion, Wavelets, and Regularisation into Residual Networks
Tobias Alt
Joachim Weickert
Pascal Peter
DiffM
52
8
0
07 Feb 2020
Spatial-Adaptive Network for Single Image Denoising
Spatial-Adaptive Network for Single Image Denoising
Meng Chang
Qi Li
H. Feng
Zhi-hai Xu
61
154
0
28 Jan 2020
CNN-Based Real-Time Parameter Tuning for Optimizing Denoising Filter
  Performance
CNN-Based Real-Time Parameter Tuning for Optimizing Denoising Filter Performance
Subhayan Mukherjee
N. K. Kottayil
Xinyao Sun
I. Cheng
18
4
0
20 Jan 2020
Total Deep Variation for Linear Inverse Problems
Total Deep Variation for Linear Inverse Problems
Erich Kobler
Alexander Effland
K. Kunisch
Thomas Pock
98
89
0
14 Jan 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
223
838
0
31 Dec 2019
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal
  and Image Processing
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
V. Monga
Yuelong Li
Yonina C. Eldar
128
1,026
0
22 Dec 2019
Scale-wise Convolution for Image Restoration
Scale-wise Convolution for Image Restoration
Yuchen Fan
Jiahui Yu
Ding Liu
Thomas S. Huang
63
39
0
19 Dec 2019
Image Restoration using Plug-and-Play CNN MAP Denoisers
Image Restoration using Plug-and-Play CNN MAP Denoisers
Siavash Bigdeli
David Honzátko
Sabine Süsstrunk
L. A. Dunbar
46
8
0
18 Dec 2019
PixelRL: Fully Convolutional Network with Reinforcement Learning for
  Image Processing
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing
Ryosuke Furuta
Naoto Inoue
T. Yamasaki
61
72
0
16 Dec 2019
Memory-efficient Learning for Large-scale Computational Imaging --
  NeurIPS deep inverse workshop
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop
Michael R. Kellman
Jonathan I. Tamir
E. Bostan
Michael Lustig
Laura Waller
SupR
96
58
0
11 Dec 2019
Fully Trainable and Interpretable Non-Local Sparse Models for Image
  Restoration
Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration
Bruno Lecouat
Jean Ponce
Julien Mairal
53
1
0
05 Dec 2019
Deep Decomposition Learning for Inverse Imaging Problems
Deep Decomposition Learning for Inverse Imaging Problems
Dongdong Chen
Mike E. Davies
69
40
0
25 Nov 2019
Fast and Flexible Image Blind Denoising via Competition of Experts
Fast and Flexible Image Blind Denoising via Competition of Experts
S. Maeda
65
6
0
20 Nov 2019
Solving Inverse Problems by Joint Posterior Maximization with a VAE
  Prior
Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior
Mario González
Andrés Almansa
M. Delbracio
Pablo Musé
Pauline Tan
54
6
0
14 Nov 2019
Semantic Image Completion and Enhancement using Deep Learning
Semantic Image Completion and Enhancement using Deep Learning
Vaishnav Chandak
Priyansh Saxena
M. Pattanaik
G. Kaushal
GAN
57
5
0
06 Nov 2019
Cross-Scale Residual Network for Multiple Tasks:Image Super-resolution,
  Denoising, and Deblocking
Cross-Scale Residual Network for Multiple Tasks:Image Super-resolution, Denoising, and Deblocking
Yuan Zhou
Xiaoting Du
Yeda Zhang
S. Kung
SupR
141
1
0
04 Nov 2019
Learning a Generic Adaptive Wavelet Shrinkage Function for Denoising
Learning a Generic Adaptive Wavelet Shrinkage Function for Denoising
Tobias Alt
Joachim Weickert
DiffM
30
4
0
21 Oct 2019
KRNET: Image Denoising with Kernel Regulation Network
KRNET: Image Denoising with Kernel Regulation Network
Peng Liu
Xiaoxiao Zhou
Jun-Yi Li
Mohammad D. El Basha
R. Fang
SupR
23
1
0
20 Oct 2019
Image Restoration Using Deep Regulated Convolutional Networks
Image Restoration Using Deep Regulated Convolutional Networks
Peng Liu
Xiaoxiao Zhou
Junyi Yang
Mohammad D. El Basha
R. Fang
23
2
0
19 Oct 2019
Investigating Task-driven Latent Feasibility for Nonconvex Image
  Modeling
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling
Risheng Liu
Pan Mu
Jian Chen
Xin-Yue Fan
Zhongxuan Luo
107
25
0
18 Oct 2019
Deep K-SVD Denoising
Deep K-SVD Denoising
M. Scetbon
Michael Elad
P. Milanfar
SupR
102
108
0
28 Sep 2019
Rethinking the CSC Model for Natural Images
Rethinking the CSC Model for Natural Images
Dror Simon
Michael Elad
50
91
0
12 Sep 2019
Deep Super-Resolution Network for Single Image Super-Resolution with
  Realistic Degradations
Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations
Rao Muhammad Umer
G. Foresti
C. Micheloni
SupR
60
13
0
09 Sep 2019
A Comprehensive Benchmark for Single Image Compression Artifacts
  Reduction
A Comprehensive Benchmark for Single Image Compression Artifacts Reduction
Jiaying Liu
Dong Liu
Wenhan Yang
Sifeng Xia
Xiaoshuai Zhang
Yuanying Dai
98
74
0
09 Sep 2019
Parametric Majorization for Data-Driven Energy Minimization Methods
Parametric Majorization for Data-Driven Energy Minimization Methods
Jonas Geiping
Michael Moeller
129
4
0
17 Aug 2019
Index Network
Index Network
Hao Lu
Yutong Dai
Chunhua Shen
Songcen Xu
SSeg
28
0
0
11 Aug 2019
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