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Low-Light Image and Video Enhancement Using Deep Learning: A Survey

Low-Light Image and Video Enhancement Using Deep Learning: A Survey

21 April 2021
Chongyi Li
Chunle Guo
Linghao Han
Jun Jiang
Mingg-Ming Cheng
Liang Feng
Chen Change Loy
ArXivPDFHTML

Papers citing "Low-Light Image and Video Enhancement Using Deep Learning: A Survey"

10 / 110 papers shown
Title
Enhancing Low-Light Images in Real World via Cross-Image Disentanglement
Enhancing Low-Light Images in Real World via Cross-Image Disentanglement
Lanqing Guo
Renjie Wan
Wenhan Yang
Alex C. Kot
B. Wen
36
6
0
10 Jan 2022
Interactive Attention AI to translate low light photos to captions for
  night scene understanding in women safety
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety
A. Rajagopal
V. Nirmala
Arun Muthuraj Vedamanickam
11
0
0
04 Jan 2022
Invertible Network for Unpaired Low-light Image Enhancement
Invertible Network for Unpaired Low-light Image Enhancement
Jize Zhang
Haolin Wang
Xiaohe Wu
W. Zuo
17
5
0
24 Dec 2021
Decoupled Low-light Image Enhancement
Decoupled Low-light Image Enhancement
Shijie Hao
Xuyang Han
Yanrong Guo
Meng Wang
21
26
0
29 Nov 2021
Computational Imaging and Artificial Intelligence: The Next Revolution
  of Mobile Vision
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision
J. Suo
Weihang Zhang
Jin Gong
Xin Yuan
D. Brady
Qionghai Dai
43
23
0
18 Sep 2021
Towards Unsupervised Deep Image Enhancement with Generative Adversarial
  Network
Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network
Zhangkai Ni
Wenhan Yang
Shiqi Wang
Lin Ma
Sam Kwong
GAN
49
104
0
30 Dec 2020
Model-blind Video Denoising Via Frame-to-frame Training
Model-blind Video Denoising Via Frame-to-frame Training
T. Ehret
Axel Davy
Jean-Michel Morel
Gabriele Facciolo
Pablo Arias
56
82
0
30 Nov 2018
Learning to See in the Dark
Learning to See in the Dark
Cheng Chen
Qifeng Chen
Jia Xu
V. Koltun
190
1,165
0
04 May 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,567
0
17 Apr 2017
Deep Joint Rain Detection and Removal from a Single Image
Deep Joint Rain Detection and Removal from a Single Image
Wenhan Yang
R. Tan
Jiashi Feng
Jiaying Liu
Zongming Guo
Shuicheng Yan
144
989
0
25 Sep 2016
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