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. 2004.08513
  4. Cited By
ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera
  Rig

ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig

18 April 2020
Hamid Reza Vaezi Joze
Ilya Zharkov
Karlton D. Powell
Carl Ringler
Luming Liang
A. Roulston
Moshe R. Lutz
V. Pradeep
    SupR
ArXivPDFHTML

Papers citing "ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig"

19 / 19 papers shown
Title
Replacing Mobile Camera ISP with a Single Deep Learning Model
Replacing Mobile Camera ISP with a Single Deep Learning Model
Andrey D. Ignatov
Luc Van Gool
Radu Timofte
21
174
0
13 Feb 2020
Deep Camera: A Fully Convolutional Neural Network for Image Signal
  Processing
Deep Camera: A Fully Convolutional Neural Network for Image Signal Processing
Sivalogeswaran Ratnasingam
49
41
0
24 Aug 2019
Learning Digital Camera Pipeline for Extreme Low-Light Imaging
Learning Digital Camera Pipeline for Extreme Low-Light Imaging
Syed Waqas Zamir
Aditya Arora
Salman Khan
Fahad Shahbaz Khan
Ling Shao
28
33
0
11 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
47
500
0
01 Apr 2019
MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American
  Sign Language
MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language
Hamid Reza Vaezi Joze
Oscar Koller
SLR
23
250
0
03 Dec 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
36
356
0
27 Aug 2018
Learning to See in the Dark
Learning to See in the Dark
Cheng Chen
Qifeng Chen
Jia Xu
V. Koltun
262
1,176
0
04 May 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
101
3,299
0
24 Feb 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
45
226
0
20 Jan 2018
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
118
5,871
0
10 Jul 2017
The Kinetics Human Action Video Dataset
The Kinetics Human Action Video Dataset
W. Kay
João Carreira
Karen Simonyan
Brian Zhang
Chloe Hillier
...
Tim Green
T. Back
Apostol Natsev
Mustafa Suleyman
Andrew Zisserman
182
3,771
0
19 May 2017
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks
Andrey D. Ignatov
Nikolay Kobyshev
Radu Timofte
K. Vanhoey
Luc Van Gool
42
520
0
08 Apr 2017
Learning a Mixture of Deep Networks for Single Image Super-Resolution
Learning a Mixture of Deep Networks for Single Image Super-Resolution
Ding Liu
Zhaowen Wang
Nasser M. Nasrabadi
Thomas Huang
SupR
37
33
0
03 Jan 2017
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
215
10,646
0
15 Sep 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Peng Sun
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
105
6,962
0
13 Aug 2016
Loss Functions for Neural Networks for Image Processing
Loss Functions for Neural Networks for Image Processing
Hang Zhao
Orazio Gallo
I. Frosio
Jan Kautz
SupR
46
278
0
28 Nov 2015
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
83
6,164
0
14 Nov 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
154
43,290
0
01 May 2014
Deep Learning in Neural Networks: An Overview
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
132
16,311
0
30 Apr 2014
1