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Text in the Dark: Extremely Low-Light Text Image Enhancement

Text in the Dark: Extremely Low-Light Text Image Enhancement

22 April 2024
Che-Tsung Lin
Chun Chet Ng
Zhi Qin Tan
Wan Jun Nah
Xinyu Wang
Jie-Long Kew
Po-Hao Hsu
Shang-Hong Lai
Chee Seng Chan
Christopher Zach
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Papers citing "Text in the Dark: Extremely Low-Light Text Image Enhancement"

4 / 4 papers shown
Title
You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer
  for Image Enhancement and Exposure Correction
You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction
Ziteng Cui
Kunchang Li
Lin Gu
Sheng Su
Peng Gao
Zhengkai Jiang
Yu Qiao
Tatsuya Harada
ViT
76
123
0
30 May 2022
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
220
835
0
13 Dec 2020
Learning to See in the Dark
Learning to See in the Dark
Cheng Chen
Qifeng Chen
Jia Xu
V. Koltun
168
1,157
0
04 May 2018
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
203
19,191
0
21 Nov 2016
1