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. 1511.04491
  4. Cited By
Deeply-Recursive Convolutional Network for Image Super-Resolution

Deeply-Recursive Convolutional Network for Image Super-Resolution

14 November 2015
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
    SupR
ArXivPDFHTML

Papers citing "Deeply-Recursive Convolutional Network for Image Super-Resolution"

50 / 609 papers shown
Title
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
13
57
0
31 Jan 2018
Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans:
  Self-Paced 3D Mask Generation from RECIST
Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST
Jinzheng Cai
Youbao Tang
Le Lu
Adam P. Harrison
Ke Yan
Jing Xiao
Lin Yang
Ronald M. Summers
MedIm
33
13
0
25 Jan 2018
Frame-Recurrent Video Super-Resolution
Frame-Recurrent Video Super-Resolution
Mehdi S. M. Sajjadi
Raviteja Vemulapalli
Matthew A. Brown
SupR
12
501
0
14 Jan 2018
A Multi-Scale and Multi-Depth Convolutional Neural Network for Remote
  Sensing Imagery Pan-Sharpening
A Multi-Scale and Multi-Depth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening
Qiangqiang Yuan
Yancong Wei
Xiangchao Meng
Huanfeng Shen
Liangpei Zhang
11
462
0
28 Dec 2017
Super-Resolution with Deep Adaptive Image Resampling
Super-Resolution with Deep Adaptive Image Resampling
Xu Jia
Hong Chang
Tinne Tuytelaars
SupR
15
9
0
18 Dec 2017
Learning a Single Convolutional Super-Resolution Network for Multiple
  Degradations
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
K. Zhang
W. Zuo
Lei Zhang
SupR
44
902
0
17 Dec 2017
"Zero-Shot" Super-Resolution using Deep Internal Learning
"Zero-Shot" Super-Resolution using Deep Internal Learning
Assaf Shocher
Nadav Cohen
Michal Irani
SupR
13
846
0
17 Dec 2017
SRPGAN: Perceptual Generative Adversarial Network for Single Image Super
  Resolution
SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution
Bingzhe Wu
Haodong Duan
Zhichao Liu
Guangyu Sun
GAN
19
56
0
16 Dec 2017
Deep Sampling Networks
Deep Sampling Networks
Bolun Cai
Xiangmin Xu
K. Guo
K. Jia
Dacheng Tao
8
0
0
04 Dec 2017
Super-Resolution for Overhead Imagery Using DenseNets and Adversarial
  Learning
Super-Resolution for Overhead Imagery Using DenseNets and Adversarial Learning
Marc Bosch
C. Gifford
Pedro A. Rodriguez
GAN
22
24
0
28 Nov 2017
Deep Inception-Residual Laplacian Pyramid Networks for Accurate Single
  Image Super-Resolution
Deep Inception-Residual Laplacian Pyramid Networks for Accurate Single Image Super-Resolution
Yongliang Tang
W. Gong
Xi Chen
Weihong Li
SupR
14
25
0
15 Nov 2017
CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks
  for Image Super Resolution
CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution
Haoyu Ren
Mostafa El-Khamy
Jungwon Lee
SupR
31
26
0
11 Nov 2017
Retinal Vasculature Segmentation Using Local Saliency Maps and
  Generative Adversarial Networks For Image Super Resolution
Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution
Dwarikanath Mahapatra
Behzad Bozorgtabar
MedIm
GAN
6
40
0
13 Oct 2017
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid
  Networks
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks
Wei-Sheng Lai
Jia-Bin Huang
N. Ahuja
Ming-Hsuan Yang
SupR
21
757
0
04 Oct 2017
Multimodal Image Super-resolution via Joint Sparse Representations
  induced by Coupled Dictionaries
Multimodal Image Super-resolution via Joint Sparse Representations induced by Coupled Dictionaries
P. Song
Xin Deng
João F. C. Mota
Nikos Deligiannis
P. Dragotti
M. Rodrigues
SupR
8
69
0
25 Sep 2017
Fast Image Processing with Fully-Convolutional Networks
Fast Image Processing with Fully-Convolutional Networks
Qifeng Chen
Jia Xu
V. Koltun
10
322
0
02 Sep 2017
Learning with Rethinking: Recurrently Improving Convolutional Neural
  Networks through Feedback
Learning with Rethinking: Recurrently Improving Convolutional Neural Networks through Feedback
X. Li
Zequn Jie
Jiashi Feng
Changsong Liu
Shuicheng Yan
SSL
14
36
0
15 Aug 2017
A Generic Deep Architecture for Single Image Reflection Removal and
  Image Smoothing
A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing
Qingnan Fan
Jiaolong Yang
G. Hua
Baoquan Chen
David Wipf
SupR
14
282
0
11 Aug 2017
Weakly- and Self-Supervised Learning for Content-Aware Deep Image
  Retargeting
Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting
Donghyeon Cho
Jinsun Park
Tae-Hyun Oh
Yu-Wing Tai
In So Kweon
10
73
0
09 Aug 2017
MemNet: A Persistent Memory Network for Image Restoration
MemNet: A Persistent Memory Network for Image Restoration
Ying Tai
Jian Yang
Xiaoming Liu
Chunyan Xu
SupR
17
1,534
0
07 Aug 2017
An End-to-End Compression Framework Based on Convolutional Neural
  Networks
An End-to-End Compression Framework Based on Convolutional Neural Networks
F. Jiang
Wen Tao
Shaohui Liu
Jie Ren
Xun Guo
Debin Zhao
3DV
25
199
0
02 Aug 2017
Learning to Hallucinate Face Images via Component Generation and
  Enhancement
Learning to Hallucinate Face Images via Component Generation and Enhancement
Yibing Song
Jiawei Zhang
Shengfeng He
Linchao Bao
Qingxiong Yang
SupR
16
102
0
01 Aug 2017
Structure-Preserving Image Super-resolution via Contextualized
  Multi-task Learning
Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning
Yukai Shi
Keze Wang
Chongyu Chen
Li Xu
Liang Lin
SupR
18
57
0
26 Jul 2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600
  Papers Survey
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
Hirokatsu Kataoka
Soma Shirakabe
Yun He
S. Ueta
Teppei Suzuki
...
Ryousuke Takasawa
Masataka Fuchida
Yudai Miyashita
Kazushige Okayasu
Yuta Matsuzaki
19
1
0
20 Jul 2017
Fast and Accurate Image Super Resolution by Deep CNN with Skip
  Connection and Network in Network
Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network
Jin Yamanaka
S. Kuwashima
Takio Kurita
SupR
17
213
0
18 Jul 2017
Checkerboard artifact free sub-pixel convolution: A note on sub-pixel
  convolution, resize convolution and convolution resize
Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize
Andrew P. Aitken
C. Ledig
Lucas Theis
Jose Caballero
Zehan Wang
Wenzhe Shi
14
178
0
10 Jul 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
23
5,829
0
10 Jul 2017
Spatial and Angular Resolution Enhancement of Light Fields Using
  Convolutional Neural Networks
Spatial and Angular Resolution Enhancement of Light Fields Using Convolutional Neural Networks
M. K. Gul
B. Gunturk
14
81
0
04 Jul 2017
High-Quality Face Image SR Using Conditional Generative Adversarial
  Networks
High-Quality Face Image SR Using Conditional Generative Adversarial Networks
Huang Bin
Weihai Chen
Xingming Wu
Chun-Liang Lin
GAN
CVBM
14
20
0
04 Jul 2017
End-to-End Learning of Video Super-Resolution with Motion Compensation
End-to-End Learning of Video Super-Resolution with Motion Compensation
Osama Makansi
Eddy Ilg
Thomas Brox
SupR
20
54
0
03 Jul 2017
Super-Resolution via Deep Learning
Super-Resolution via Deep Learning
K. Hayat
SupR
24
91
0
28 Jun 2017
Enhancing SDO/HMI images using deep learning
Enhancing SDO/HMI images using deep learning
C. D. Baso
A. Ramos
9
52
0
09 Jun 2017
Attribute-Guided Face Generation Using Conditional CycleGAN
Attribute-Guided Face Generation Using Conditional CycleGAN
Yongyi Lu
Yu-Wing Tai
Chi-Keung Tang
GAN
CVBM
21
78
0
28 May 2017
Efficient and Scalable View Generation from a Single Image using Fully
  Convolutional Networks
Efficient and Scalable View Generation from a Single Image using Fully Convolutional Networks
Sung-Ho Bae
Mohamed A. Elgharib
M. Hefeeda
Wojciech Matusik
34
3
0
10 May 2017
Single Image Super-Resolution based on Wiener Filter in Similarity
  Domain
Single Image Super-Resolution based on Wiener Filter in Similarity Domain
Cristóvão Cruz
Rakesh Mehta
V. Katkovnik
K. Egiazarian
SupR
8
72
0
13 Apr 2017
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Wei-Sheng Lai
Jia-Bin Huang
N. Ahuja
Ming-Hsuan Yang
SupR
6
2,421
0
12 Apr 2017
Detail-revealing Deep Video Super-resolution
Detail-revealing Deep Video Super-resolution
Xin Tao
Hongyun Gao
Renjie Liao
Jue Wang
Jiaya Jia
SupR
9
491
0
10 Apr 2017
Convolutional Neural Pyramid for Image Processing
Convolutional Neural Pyramid for Image Processing
Xiaoyong Shen
Ying-Cong Chen
Xin Tao
Jiaya Jia
24
36
0
07 Apr 2017
Block-Matching Convolutional Neural Network for Image Denoising
Block-Matching Convolutional Neural Network for Image Denoising
Byeongyong Ahn
N. Cho
SupR
16
45
0
03 Apr 2017
Learned Spectral Super-Resolution
Learned Spectral Super-Resolution
S. Galliani
Charis Lanaras
D. Marmanis
E. Baltsavias
Konrad Schindler
SupR
SSL
19
115
0
28 Mar 2017
Convolutional Low-Resolution Fine-Grained Classification
Convolutional Low-Resolution Fine-Grained Classification
Dingding Cai
Ke Chen
Yanlin Qian
Joni-Kristian Kämäräinen
SupR
13
73
0
15 Mar 2017
EnhanceNet: Single Image Super-Resolution Through Automated Texture
  Synthesis
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis
Mehdi S. M. Sajjadi
Bernhard Schölkopf
M. Hirsch
SupR
16
969
0
23 Dec 2016
Texture Enhancement via High-Resolution Style Transfer for Single-Image
  Super-Resolution
Texture Enhancement via High-Resolution Style Transfer for Single-Image Super-Resolution
I. Ahn
W. H. Nam
SupR
18
4
0
01 Dec 2016
Material Recognition from Local Appearance in Global Context
Material Recognition from Local Appearance in Global Context
Gabriel Schwartz
Ko Nishino
14
27
0
28 Nov 2016
CAS-CNN: A Deep Convolutional Neural Network for Image Compression
  Artifact Suppression
CAS-CNN: A Deep Convolutional Neural Network for Image Compression Artifact Suppression
Lukas Cavigelli
P. Hager
Luca Benini
9
195
0
22 Nov 2016
Learning Fully Convolutional Networks for Iterative Non-blind
  Deconvolution
Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution
Jiawei Zhang
Jin-shan Pan
Wei-Sheng Lai
Rynson W. H. Lau
Ming-Hsuan Yang
27
161
0
20 Nov 2016
Real-Time Video Super-Resolution with Spatio-Temporal Networks and
  Motion Compensation
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
Jose Caballero
C. Ledig
Andrew P. Aitken
Alejandro Acosta
J. Totz
Zehan Wang
Wenzhe Shi
SupR
27
656
0
16 Nov 2016
Is the deconvolution layer the same as a convolutional layer?
Is the deconvolution layer the same as a convolutional layer?
Wenzhe Shi
Jose Caballero
Lucas Theis
Ferenc Huszár
Andrew P. Aitken
C. Ledig
Zehan Wang
15
139
0
22 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
17
10,588
0
15 Sep 2016
Accelerating the Super-Resolution Convolutional Neural Network
Accelerating the Super-Resolution Convolutional Neural Network
Chao Dong
Chen Change Loy
Xiaoou Tang
SupR
17
2,940
0
01 Aug 2016
Previous
123...111213
Next