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Accurate Image Super-Resolution Using Very Deep Convolutional Networks

Accurate Image Super-Resolution Using Very Deep Convolutional Networks

14 November 2015
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
    SupR
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Papers citing "Accurate Image Super-Resolution Using Very Deep Convolutional Networks"

50 / 1,495 papers shown
Title
Lightweight Image Super-Resolution with Adaptive Weighted Learning
  Network
Lightweight Image Super-Resolution with Adaptive Weighted Learning Network
Chaofeng Wang
Zheng Li
Jun Shi
22
100
0
04 Apr 2019
A Benchmark for Edge-Preserving Image Smoothing
A Benchmark for Edge-Preserving Image Smoothing
Feida Zhu
Zhetong Liang
Xixi Jia
Lei Zhang
Yizhou Yu
16
56
0
02 Apr 2019
CFSNet: Toward a Controllable Feature Space for Image Restoration
CFSNet: Toward a Controllable Feature Space for Image Restoration
Wei Wang
Ruiming Guo
Yapeng Tian
Wenming Yang
DiffM
10
65
0
01 Apr 2019
PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study
PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study
M. Shoeiby
A. Robles-Kelly
Ran Wei
Radu Timofte
SupR
25
15
0
01 Apr 2019
Toward Real-World Single Image Super-Resolution: A New Benchmark and A
  New Model
Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model
Jianrui Cai
Huiyu Zeng
Hongwei Yong
Zisheng Cao
Lei Zhang
SupR
25
497
0
01 Apr 2019
Fast and Full-Resolution Light Field Deblurring using a Deep Neural
  Network
Fast and Full-Resolution Light Field Deblurring using a Deep Neural Network
Jonathan Samuel Lumentut
Tae Hyun Kim
R. Ramamoorthi
I. Park
14
11
0
31 Mar 2019
A HVS-inspired Attention to Improve Loss Metrics for CNN-based
  Perception-Oriented Super-Resolution
A HVS-inspired Attention to Improve Loss Metrics for CNN-based Perception-Oriented Super-Resolution
Taimoor Tariq
Juan Luis Gonzalez
Munchurl Kim
SupR
14
1
0
30 Mar 2019
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels
Kai Zhang
W. Zuo
Lei Zhang
SupR
14
358
0
29 Mar 2019
Deformable kernel networks for guided depth map upsampling
Deformable kernel networks for guided depth map upsampling
Beomjun Kim
Jean Ponce
Bumsub Ham
16
13
0
27 Mar 2019
Verification of Very Low-Resolution Faces Using An Identity-Preserving
  Deep Face Super-Resolution Network
Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network
E. Cansizoglu
Michael J. Jones
Ziming Zhang
Alan Sullivan
CVBM
SupR
17
13
0
26 Mar 2019
Recurrent Back-Projection Network for Video Super-Resolution
Recurrent Back-Projection Network for Video Super-Resolution
Muhammad Haris
Gregory Shakhnarovich
Norimichi Ukita
SupR
25
430
0
25 Mar 2019
Residual Non-local Attention Networks for Image Restoration
Residual Non-local Attention Networks for Image Restoration
Yulun Zhang
Kunpeng Li
Kai Li
Bineng Zhong
Y. Fu
SupR
30
670
0
24 Mar 2019
Pixel-aware Deep Function-mixture Network for Spectral Super-Resolution
Pixel-aware Deep Function-mixture Network for Spectral Super-Resolution
Lei Zhang
Zhiqiang Lang
Peng Wang
Wei Wei
Shengcai Liao
Ling Shao
Yanning Zhang
SupR
6
78
0
24 Mar 2019
Feedback Network for Image Super-Resolution
Feedback Network for Image Super-Resolution
Z. Li
Jinglei Yang
Zheng Liu
Xiaomin Yang
Gwanggil Jeon
Wei Yu Wu
SupR
24
709
0
23 Mar 2019
Residual Pyramid Learning for Single-Shot Semantic Segmentation
Residual Pyramid Learning for Single-Shot Semantic Segmentation
Xiaoyu Chen
X. Lou
Lianfa Bai
Jing Han
SSeg
30
17
0
23 Mar 2019
Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized
  Single Image Super-Resolution Network
Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network
Aupendu Kar
P. Biswas
AAML
UQCV
SupR
OOD
27
11
0
22 Mar 2019
A Matrix-in-matrix Neural Network for Image Super Resolution
A Matrix-in-matrix Neural Network for Image Super Resolution
Hailong Ma
Xiangxiang Chu
Bo-Wen Zhang
Shaohua Wan
Bo Zhang
SupR
27
7
0
19 Mar 2019
Proximal Splitting Networks for Image Restoration
Proximal Splitting Networks for Image Restoration
Raied Aljadaany
Dipan K. Pal
Marios Savvides
SupR
9
8
0
17 Mar 2019
Learning Parallax Attention for Stereo Image Super-Resolution
Learning Parallax Attention for Stereo Image Super-Resolution
Longguang Wang
Yingqian Wang
Zhengfa Liang
Zaiping Lin
Jungang Yang
W. An
Yulan Guo
SupR
18
249
0
14 Mar 2019
Two-Stream Action Recognition-Oriented Video Super-Resolution
Two-Stream Action Recognition-Oriented Video Super-Resolution
Haochen Zhang
Dong Liu
Zhiwei Xiong
SupR
20
44
0
13 Mar 2019
Unsupervised Data Imputation via Variational Inference of Deep Subspaces
Unsupervised Data Imputation via Variational Inference of Deep Subspaces
Adrian V. Dalca
John Guttag
M. Sabuncu
DRL
23
13
0
08 Mar 2019
Efficient Deep Neural Network for Photo-realistic Image Super-Resolution
Efficient Deep Neural Network for Photo-realistic Image Super-Resolution
Namhyuk Ahn
Byungkon Kang
Kyung-ah Sohn
SupR
19
27
0
06 Mar 2019
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Xuecai Hu
Haoyuan Mu
Xiangyu Zhang
Zilei Wang
T. Tan
Jian-jun Sun
SupR
19
401
0
03 Mar 2019
Image Super-Resolution by Neural Texture Transfer
Image Super-Resolution by Neural Texture Transfer
Zhifei Zhang
Zhaowen Wang
Zhe-nan Lin
Hairong Qi
SupR
17
275
0
03 Mar 2019
Extreme Channel Prior Embedded Network for Dynamic Scene Deblurring
Extreme Channel Prior Embedded Network for Dynamic Scene Deblurring
Jianrui Cai
W. Zuo
Lei Zhang
11
7
0
02 Mar 2019
Deep Learning for Multiple-Image Super-Resolution
Deep Learning for Multiple-Image Super-Resolution
M. Kawulok
Pawel Benecki
Szymon Piechaczek
Krzysztof Hrynczenko
Daniel Kostrzewa
J. Nalepa
SupR
14
77
0
01 Mar 2019
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model
Haonan Qiu
Chuan Wang
Hang Zhu
Xiangyu Zhu
Jinjin Gu
Xiaoguang Han
3DH
GAN
11
12
0
28 Feb 2019
Hypernetwork functional image representation
Hypernetwork functional image representation
Sylwester Klocek
Lukasz Maziarka
Maciej Wołczyk
Jacek Tabor
Jakub Nowak
Marek Śmieja
SupR
3DH
8
90
0
27 Feb 2019
Can learning from natural image denoising be used for seismic data
  interpolation?
Can learning from natural image denoising be used for seismic data interpolation?
Hao Zhang
Xiuyan Yang
Jianwei Ma
19
70
0
27 Feb 2019
Deep Learning for Image Super-resolution: A Survey
Deep Learning for Image Super-resolution: A Survey
Zhihao Wang
Jian Chen
S. Hoi
SupR
22
1,412
0
16 Feb 2019
Lightweight Feature Fusion Network for Single Image Super-Resolution
Lightweight Feature Fusion Network for Single Image Super-Resolution
Wenming Yang
Wei Wang
Xuechen Zhang
Shuifa Sun
Q. Liao
19
48
0
15 Feb 2019
Deep Algorithm Unrolling for Blind Image Deblurring
Deep Algorithm Unrolling for Blind Image Deblurring
Yuelong Li
M. Tofighi
Junyi Geng
V. Monga
Yonina C. Eldar
23
5
0
09 Feb 2019
Advances on CNN-based super-resolution of Sentinel-2 images
Advances on CNN-based super-resolution of Sentinel-2 images
M. Gargiulo
SupR
6
7
0
07 Feb 2019
Extending Stein's unbiased risk estimator to train deep denoisers with
  correlated pairs of noisy images
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images
Magauiya Zhussip
Shakarim Soltanayev
S. Chun
OOD
12
3
0
07 Feb 2019
UrbanFM: Inferring Fine-Grained Urban Flows
UrbanFM: Inferring Fine-Grained Urban Flows
Yuxuan Liang
Kun Ouyang
Lin Jing
Sijie Ruan
Ye Liu
Junbo Zhang
David S. Rosenblum
Yu Zheng
17
122
0
06 Feb 2019
Bridging the Gap Between Computational Photography and Visual
  Recognition
Bridging the Gap Between Computational Photography and Visual Recognition
Rosaura G. VidalMata
Sreya Banerjee
Brandon RichardWebster
Michael Albright
Pedro Davalos
...
Wen-Chi Chin
Yi-Chun Li
M. Lababidi
C. Otto
Walter J. Scheirer
18
55
0
28 Jan 2019
Unsupervised Image-to-Image Translation with Self-Attention Networks
Unsupervised Image-to-Image Translation with Self-Attention Networks
Taewon Kang
K. Lee
15
20
0
24 Jan 2019
Understanding Geometry of Encoder-Decoder CNNs
Understanding Geometry of Encoder-Decoder CNNs
J. C. Ye
Woon Kyoung Sung
3DV
AI4CE
9
72
0
22 Jan 2019
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture
  Search
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search
Xiangxiang Chu
Bo-Wen Zhang
Hailong Ma
Ruijun Xu
Qingyuan Li
SupR
22
247
0
22 Jan 2019
Single MR Image Super-Resolution via Channel Splitting and Serial Fusion
  Network
Single MR Image Super-Resolution via Channel Splitting and Serial Fusion Network
Xiaole Zhao
Huali Zhang
Hangfei Liu
Yun Qin
Zhang Tao
Xueming Zou
SupR
25
24
0
19 Jan 2019
Generative Adversarial Classifier for Handwriting Characters
  Super-Resolution
Generative Adversarial Classifier for Handwriting Characters Super-Resolution
Zhuang Qian
Kaizhu Huang
Qiufeng Wang
Jimin Xiao
Rui Zhang
GAN
12
26
0
18 Jan 2019
Neumann Networks for Inverse Problems in Imaging
Neumann Networks for Inverse Problems in Imaging
Davis Gilton
Greg Ongie
Rebecca Willett
11
24
0
13 Jan 2019
GASL: Guided Attention for Sparsity Learning in Deep Neural Networks
GASL: Guided Attention for Sparsity Learning in Deep Neural Networks
A. Torfi
Rouzbeh A. Shirvani
Sobhan Soleymani
Nasser M. Nasrabadi
14
8
0
07 Jan 2019
Multi-Objective Reinforced Evolution in Mobile Neural Architecture
  Search
Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search
Xiangxiang Chu
Bo Zhang
Ruijun Xu
Hailong Ma
23
98
0
04 Jan 2019
Optical Fringe Patterns Filtering Based on Multi-Stage Convolution
  Neural Network
Optical Fringe Patterns Filtering Based on Multi-Stage Convolution Neural Network
Bowen Lin
S. Fu
Caiming Zhang
Fengling Wang
Yuliang Li
13
48
0
02 Jan 2019
Deep Frame Prediction for Video Coding
Deep Frame Prediction for Video Coding
Hyomin Choi
Ivan V. Bajić
6
58
0
31 Dec 2018
Fast Perceptual Image Enhancement
Fast Perceptual Image Enhancement
Etienne de Stoutz
Andrey D. Ignatov
Nikolay Kobyshev
Radu Timofte
Luc Van Gool
16
19
0
31 Dec 2018
Residual Dense Network for Image Restoration
Residual Dense Network for Image Restoration
Yulun Zhang
Yapeng Tian
Yu Kong
Bineng Zhong
Y. Fu
SupR
11
715
0
25 Dec 2018
Estimation and Restoration of Compositional Degradation Using
  Convolutional Neural Networks
Estimation and Restoration of Compositional Degradation Using Convolutional Neural Networks
Kazutaka Uchida
Masayuki Tanaka
Masatoshi Okutomi
6
2
0
23 Dec 2018
Multi-Frame Super-Resolution Reconstruction with Applications to Medical
  Imaging
Multi-Frame Super-Resolution Reconstruction with Applications to Medical Imaging
Thomas Köhler
SupR
MedIm
14
11
0
21 Dec 2018
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