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. 1707.02921
  4. Cited By
Enhanced Deep Residual Networks for Single Image Super-Resolution

Enhanced Deep Residual Networks for Single Image Super-Resolution

10 July 2017
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
    SupR
ArXivPDFHTML

Papers citing "Enhanced Deep Residual Networks for Single Image Super-Resolution"

50 / 758 papers shown
Title
Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual
  Super-resolution Network
Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network
Subeesh Vasu
T. Nimisha
R. Narayanan
SupR
GAN
32
53
0
01 Nov 2018
Neural Nearest Neighbors Networks
Neural Nearest Neighbors Networks
Tobias Plötz
Stefan Roth
30
338
0
30 Oct 2018
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural
  Network for Video Interpolation and Enhancement
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement
Wenbo Bao
Wei-Sheng Lai
Xiaoyun Zhang
Zhiyong Gao
Ming-Hsuan Yang
33
319
0
20 Oct 2018
Implicit Dual-domain Convolutional Network for Robust Color Image
  Compression Artifact Reduction
Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction
Bolun Zheng
Yao-wu Chen
Xiang Tian
Fan Zhou
Xuesong Liu
24
78
0
18 Oct 2018
S-Net: A Scalable Convolutional Neural Network for JPEG Compression
  Artifact Reduction
S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact Reduction
Bolun Zheng
Rui Sun
Xiang Tian
Yao-wu Chen
30
21
0
18 Oct 2018
DN-ResNet: Efficient Deep Residual Network for Image Denoising
DN-ResNet: Efficient Deep Residual Network for Image Denoising
Haoyu Ren
Mostafa El-Khamy
Jungwon Lee
27
51
0
16 Oct 2018
Lesion Focused Super-Resolution
Lesion Focused Super-Resolution
Jin Zhu
Guang Yang
Pietro Lio
SupR
GAN
MedIm
25
23
0
15 Oct 2018
Deep Bi-Dense Networks for Image Super-Resolution
Deep Bi-Dense Networks for Image Super-Resolution
Yucheng Wang
Jialiang Shen
Jian Zhang
SupR
18
9
0
11 Oct 2018
Triple Attention Mixed Link Network for Single Image Super Resolution
Triple Attention Mixed Link Network for Single Image Super Resolution
Xi Cheng
Xiang Li
Jian Yang
SupR
19
9
0
08 Oct 2018
Channel-wise and Spatial Feature Modulation Network for Single Image
  Super-Resolution
Channel-wise and Spatial Feature Modulation Network for Single Image Super-Resolution
Yanting Hu
Jie Li
Yuanfei Huang
Xinbo Gao
SupR
25
256
0
28 Sep 2018
Multigrid Backprojection Super-Resolution and Deep Filter Visualization
Multigrid Backprojection Super-Resolution and Deep Filter Visualization
Pablo Navarrete Michelini
Hanwen Liu
Dan Zhu
SupR
28
20
0
25 Sep 2018
The 2018 PIRM Challenge on Perceptual Image Super-resolution
The 2018 PIRM Challenge on Perceptual Image Super-resolution
Yochai Blau
Roey Mechrez
Radu Timofte
T. Michaeli
Lihi Zelnik-Manor
SupR
41
459
0
20 Sep 2018
Image Super-Resolution via Deterministic-Stochastic Synthesis and Local
  Statistical Rectification
Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical Rectification
Weifeng Ge
Bingchen Gong
Yizhou Yu
SupR
27
14
0
18 Sep 2018
Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution
  on Real Data
Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data
Thomas Köhler
M. Bätz
Farzad Naderi
Andre Kaup
Andreas Maier
Christian Riess
SupR
26
25
0
17 Sep 2018
Deep Learning-based Image Super-Resolution Considering Quantitative and
  Perceptual Quality
Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality
Jun-Ho Choi
Jun-Hyuk Kim
Manri Cheon
Jong-Seok Lee
SupR
29
40
0
13 Sep 2018
Super-Resolution Perception for Industrial Sensor Data
Super-Resolution Perception for Industrial Sensor Data
Jinjin Gu
Haoyu Chen
Guolong Liu
Gaoqi Liang
Xinlei Wang
Junhua Zhao
30
3
0
06 Sep 2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang
Ke Yu
Shixiang Wu
Jinjin Gu
Yihao Liu
Chao Dong
Chen Change Loy
Yu Qiao
Xiaoou Tang
48
3,695
0
01 Sep 2018
Wide Activation for Efficient and Accurate Image Super-Resolution
Wide Activation for Efficient and Accurate Image Super-Resolution
Jiahui Yu
Yuchen Fan
Jianchao Yang
N. Xu
Zhaowen Wang
Xinchao Wang
Thomas Huang
SupR
22
356
0
27 Aug 2018
CT Super-resolution GAN Constrained by the Identical, Residual, and
  Cycle Learning Ensemble(GAN-CIRCLE)
CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)
Chenyu You
Guang Li
Yi Zhang
Xiaoliu Zhang
Hongming Shan
...
Zhuiyang Zhang
W. Cong
Michael W. Vannier
P. Saha
Ge Wang
MedIm
GAN
SupR
31
401
0
10 Aug 2018
Physics-Based Generative Adversarial Models for Image Restoration and
  Beyond
Physics-Based Generative Adversarial Models for Image Restoration and Beyond
Jin-shan Pan
Jiangxin Dong
Yang Liu
Jiawei Zhang
Jimmy S. J. Ren
Jinhui Tang
Yu-Wing Tai
Ming-Hsuan Yang
GAN
14
145
0
02 Aug 2018
The Unreasonable Effectiveness of Texture Transfer for Single Image
  Super-resolution
The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution
Muhammad Waleed Gondal
Bernhard Schölkopf
M. Hirsch
SupR
32
48
0
31 Jul 2018
Generative Adversarial Networks and Perceptual Losses for Video
  Super-Resolution
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution
Alice Lucas
Santiago López-Tapia
Rafael Molina
Aggelos K. Katsaggelos
GAN
SupR
41
174
0
14 Jun 2018
Non-Local Recurrent Network for Image Restoration
Non-Local Recurrent Network for Image Restoration
Ding Liu
Bihan Wen
Yuchen Fan
Chen Change Loy
Thomas S. Huang
SupR
164
628
0
07 Jun 2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance
  Benchmark
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark
Cody Coleman
Daniel Kang
Deepak Narayanan
Luigi Nardi
Tian Zhao
Jian Zhang
Peter Bailis
K. Olukotun
Christopher Ré
Matei A. Zaharia
18
117
0
04 Jun 2018
Face hallucination using cascaded super-resolution and identity priors
Face hallucination using cascaded super-resolution and identity priors
Klemen Grm
Simon Dobrišek
Walter J. Scheirer
Vitomir Štruc
SupR
46
93
0
28 May 2018
Deep Residual Networks with a Fully Connected Recon-struction Layer for
  Single Image Super-Resolution
Deep Residual Networks with a Fully Connected Recon-struction Layer for Single Image Super-Resolution
Yongliang Tang
W. Gong
Zhenghao Li
Weihong Li
SupR
29
9
0
24 May 2018
Image Restoration by Estimating Frequency Distribution of Local Patches
Image Restoration by Estimating Frequency Distribution of Local Patches
Jaeyoung Yoo
S. Lee
Nojun Kwak
31
57
0
23 May 2018
Lightweight Pyramid Networks for Image Deraining
Lightweight Pyramid Networks for Image Deraining
Xueyang Fu
Borong Liang
Yue Huang
Xinghao Ding
John Paisley
23
323
0
16 May 2018
Image Super-Resolution via Dual-State Recurrent Networks
Image Super-Resolution via Dual-State Recurrent Networks
Wei Han
Shiyu Chang
Ding Liu
Mo Yu
Michael Witbrock
Thomas S. Huang
SupR
27
215
0
07 May 2018
Large Receptive Field Networks for High-Scale Image Super-Resolution
Large Receptive Field Networks for High-Scale Image Super-Resolution
George Seif
D. Androutsos
SupR
31
24
0
22 Apr 2018
Reference-Conditioned Super-Resolution by Neural Texture Transfer
Reference-Conditioned Super-Resolution by Neural Texture Transfer
Zhifei Zhang
Zhaowen Wang
Zhe Lin
Hairong Qi
SupR
AI4TS
32
4
0
10 Apr 2018
A Fully Progressive Approach to Single-Image Super-Resolution
A Fully Progressive Approach to Single-Image Super-Resolution
Yifan Wang
Federico Perazzi
Brian McWilliams
A. Sorkine-Hornung
O. Sorkine-Hornung
Christopher Schroers
SupR
38
252
0
09 Apr 2018
Deep Appearance Maps
Deep Appearance Maps
Maxim Maximov
Laura Leal-Taixé
Mario Fritz
Tobias Ritschel
3DH
FAtt
3DV
22
33
0
03 Apr 2018
One-Two-One Networks for Compression Artifacts Reduction in Remote
  Sensing
One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing
Baochang Zhang
Jiaxin Gu
Chen Chen
Jiawei Han
Xiangbo Su
Xianbin Cao
Jianzhuang Liu
31
51
0
01 Apr 2018
Task-Driven Super Resolution: Object Detection in Low-resolution Images
Task-Driven Super Resolution: Object Detection in Low-resolution Images
Muhammad Haris
Gregory Shakhnarovich
Norimichi Ukita
41
172
0
30 Mar 2018
Context-aware Synthesis for Video Frame Interpolation
Context-aware Synthesis for Video Frame Interpolation
Simon Niklaus
Feng Liu
50
407
0
29 Mar 2018
Fast and Accurate Single Image Super-Resolution via Information
  Distillation Network
Fast and Accurate Single Image Super-Resolution via Information Distillation Network
Zheng Hui
Xiumei Wang
Xinbo Gao
SupR
28
720
0
26 Mar 2018
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual
  Network
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network
Namhyuk Ahn
Byungkon Kang
Kyung-ah Sohn
SupR
39
1,107
0
23 Mar 2018
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression
  using Deep Learning - Proof of Concept in Congenital Heart Disease
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease
A. Hauptmann
Simon Arridge
F. Lucka
V. Muthurangu
J. Steeden
31
180
0
14 Mar 2018
Maintaining Natural Image Statistics with the Contextual Loss
Maintaining Natural Image Statistics with the Contextual Loss
Roey Mechrez
Itamar Talmi
Firas Shama
Lihi Zelnik-Manor
GAN
40
94
0
13 Mar 2018
Deep Back-Projection Networks For Super-Resolution
Deep Back-Projection Networks For Super-Resolution
Muhammad Haris
Gregory Shakhnarovich
Norimichi Ukita
SupR
53
1,319
0
07 Mar 2018
Self Super-Resolution for Magnetic Resonance Images using Deep Networks
Self Super-Resolution for Magnetic Resonance Images using Deep Networks
Can Zhao
A. Carass
Blake E. Dewey
Jerry L. Prince
SupR
16
55
0
26 Feb 2018
Single Image Super-Resolution via Cascaded Multi-Scale Cross Network
Single Image Super-Resolution via Cascaded Multi-Scale Cross Network
Yanting Hu
Xinbo Gao
Jie Li
Yuanfei Huang
Hanzi Wang
SupR
30
52
0
24 Feb 2018
Residual Dense Network for Image Super-Resolution
Residual Dense Network for Image Super-Resolution
Yulun Zhang
Yapeng Tian
Yu Kong
Bineng Zhong
Y. Fu
SupR
83
3,292
0
24 Feb 2018
Full Image Recover for Block-Based Compressive Sensing
Full Image Recover for Block-Based Compressive Sensing
Xuemei Xie
Chenye Wang
Jiang Du
Guangming Shi
55
16
0
01 Feb 2018
SESR: Single Image Super Resolution with Recursive Squeeze and
  Excitation Networks
SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks
Xi Cheng
Xiang Li
Ying Tai
Jian Yang
26
57
0
31 Jan 2018
Denoising Prior Driven Deep Neural Network for Image Restoration
Denoising Prior Driven Deep Neural Network for Image Restoration
W. Dong
Peiyao Wang
W. Yin
Guangming Shi
Fangfang Wu
Xiaotong Lu
SupR
39
418
0
21 Jan 2018
DeepISP: Towards Learning an End-to-End Image Processing Pipeline
DeepISP: Towards Learning an End-to-End Image Processing Pipeline
Eli Schwartz
Raja Giryes
A. Bronstein
VLM
36
226
0
20 Jan 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
100
11,551
0
11 Jan 2018
Learning a Single Convolutional Super-Resolution Network for Multiple
  Degradations
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
Peng Sun
W. Zuo
Lei Zhang
SupR
66
905
0
17 Dec 2017
Previous
123...141516
Next