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Troublemaker Learning for Low-Light Image Enhancement

Troublemaker Learning for Low-Light Image Enhancement

7 February 2024
Yinghao Song
Zhiyuan Cao
Wanhong Xiang
Sifan Long
Bo Yang
H. Ge
Yanchun Liang
Chunguo Wu
ArXivPDFHTML

Papers citing "Troublemaker Learning for Low-Light Image Enhancement"

22 / 22 papers shown
Title
Human Pose Estimation in Extremely Low-Light Conditions
Human Pose Estimation in Extremely Low-Light Conditions
Sohyun Lee
Jaesung Rim
Boseung Jeong
Geon-Yeong Kim
Byungju Woo
Haechan Lee
Sung-Jin Cho
Suha Kwak
VLM
78
23
0
27 Mar 2023
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Xiaohan Ding
Xinming Zhang
Yi Zhou
Jungong Han
Guiguang Ding
Jian Sun
VLM
117
547
0
13 Mar 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
142
5,158
0
10 Jan 2022
Restormer: Efficient Transformer for High-Resolution Image Restoration
Restormer: Efficient Transformer for High-Resolution Image Restoration
Syed Waqas Zamir
Aditya Arora
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Ming-Hsuan Yang
ViT
153
2,217
0
18 Nov 2021
Low-Light Image Enhancement with Normalizing Flow
Low-Light Image Enhancement with Normalizing Flow
Yufei Wang
Renjie Wan
Wenhan Yang
Haoliang Li
Lap-Pui Chau
Alex C. Kot
130
370
0
13 Sep 2021
R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network
R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network
Jiang Hai
Zhu Xuan
Songchen Han
Ren Yang
Yutong Hao
Fengzhu Zou
Fang-Ju Lin
47
234
0
28 Jun 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
415
21,347
0
25 Mar 2021
Retinex-inspired Unrolling with Cooperative Prior Architecture Search
  for Low-light Image Enhancement
Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement
Risheng Liu
Long Ma
Jiaao Zhang
Xin-Yue Fan
Zhongxuan Luo
82
577
0
10 Dec 2020
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
87
1,346
0
19 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
391
42,299
0
03 Dec 2019
Attention Guided Low-light Image Enhancement with a Large Scale
  Low-light Simulation Dataset
Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset
Feifan Lv
Yu Li
Feng Lu
3DV
61
272
0
02 Aug 2019
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
64
1,553
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
1,195
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
93
1,721
0
14 Aug 2018
Learning to See in the Dark
Learning to See in the Dark
Cheng Chen
Qifeng Chen
Jia Xu
V. Koltun
278
1,181
0
04 May 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
327
11,734
0
11 Jan 2018
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
395
26,365
0
05 Sep 2017
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
1.1K
20,813
0
17 Apr 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
264
19,929
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
725
36,708
0
25 Aug 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
804
27,303
0
02 Dec 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
290
25,033
0
30 Apr 2015
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