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Checkerboard-Artifact-Free Image-Enhancement Network Considering Local
  and Global Features

Checkerboard-Artifact-Free Image-Enhancement Network Considering Local and Global Features

13 October 2020
Yuma Kinoshita
Hitoshi Kiya
ArXivPDFHTML

Papers citing "Checkerboard-Artifact-Free Image-Enhancement Network Considering Local and Global Features"

17 / 17 papers shown
Title
Fixed smooth convolutional layer for avoiding checkerboard artifacts in
  CNNs
Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs
Yuma Kinoshita
Hitoshi Kiya
44
19
0
06 Feb 2020
EnlightenGAN: Deep Light Enhancement without Paired Supervision
EnlightenGAN: Deep Light Enhancement without Paired Supervision
Yi Ding
Xinyu Gong
Ding Liu
Yu Cheng
Chen Fang
Xiaohui Shen
Jianchao Yang
Pan Zhou
Zhangyang Wang
74
1,568
0
17 Jun 2019
Convolutional Neural Networks Considering Local and Global features for
  Image Enhancement
Convolutional Neural Networks Considering Local and Global features for Image Enhancement
Yuma Kinoshita
Hitoshi Kiya
46
19
0
07 May 2019
Super-Resolution using Convolutional Neural Networks without Any
  Checkerboard Artifacts
Super-Resolution using Convolutional Neural Networks without Any Checkerboard Artifacts
Y. Sugawara
Sayaka Shiota
Hitoshi Kiya
SupR
58
51
0
07 Jun 2018
Automatic Exposure Compensation for Multi-Exposure Image Fusion
Automatic Exposure Compensation for Multi-Exposure Image Fusion
Yuma Kinoshita
Sayaka Shiota
Hitoshi Kiya
CVBM
10
14
0
29 May 2018
Learning to See in the Dark
Learning to See in the Dark
Cheng Chen
Qifeng Chen
Jia Xu
V. Koltun
286
1,185
0
04 May 2018
Image Correction via Deep Reciprocating HDR Transformation
Image Correction via Deep Reciprocating HDR Transformation
Xin Yang
Ke Xu
Yibing Song
Qiang Zhang
Xiaopeng Wei
Rynson W. H. Lau
66
108
0
12 Apr 2018
ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range
  Expansion from Low Dynamic Range Content
ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content
Demetris Marnerides
Thomas Bashford-Rogers
Jonathan Hatchett
Kurt Debattista
58
266
0
06 Mar 2018
MSR-net:Low-light Image Enhancement Using Deep Convolutional Network
MSR-net:Low-light Image Enhancement Using Deep Convolutional Network
Liang Shen
Zihan Yue
Fan Feng
Quan Chen
Shihao Liu
Jie Ma
61
272
0
07 Nov 2017
A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image
  Enhancement
A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement
Zhenqiang Ying
Ge Li
Wen Gao
57
253
0
02 Nov 2017
Deep Bilateral Learning for Real-Time Image Enhancement
Deep Bilateral Learning for Real-Time Image Enhancement
Michael Gharbi
Jiawen Chen
Jonathan T. Barron
Samuel W. Hasinoff
F. Durand
3DH
60
734
0
10 Jul 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,196
0
18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
323
18,625
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,386
0
04 Sep 2014
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