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Shed Various Lights on a Low-Light Image: Multi-Level Enhancement Guided
  by Arbitrary References

Shed Various Lights on a Low-Light Image: Multi-Level Enhancement Guided by Arbitrary References

4 January 2021
Yanan Wang
Zhuqing Jiang
Chang Liu
Kai Li
Aidong Men
Haiying Wang
ArXivPDFHTML

Papers citing "Shed Various Lights on a Low-Light Image: Multi-Level Enhancement Guided by Arbitrary References"

6 / 6 papers shown
Title
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Chunle Guo
Chongyi Li
Jichang Guo
Chen Change Loy
Junhui Hou
Sam Kwong
Runmin Cong
DiffM
3DV
95
1,358
0
19 Jan 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
Kindling the Darkness: A Practical Low-light Image Enhancer
Kindling the Darkness: A Practical Low-light Image Enhancer
Yonghua Zhang
Jiawan Zhang
Xiaojie Guo
109
1,205
0
04 May 2019
Deep Retinex Decomposition for Low-Light Enhancement
Deep Retinex Decomposition for Low-Light Enhancement
Chen Wei
Wenjing Wang
Wenhan Yang
Jiaying Liu
102
1,725
0
14 Aug 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
LLNet: A Deep Autoencoder Approach to Natural Low-light Image
  Enhancement
LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement
Kin Gwn Lore
Adedotun Akintayo
Soumik Sarkar
44
1,461
0
12 Nov 2015
1