SDALIE-GAN: Structure and Detail Aware GAN for Low-light Image Enhancement

Pang, Youxin; Yuan, Mengke; Chang, Yuchun; Yan, Dong-Ming

SDALIE-GAN: Structure and Detail Aware GAN for Low-light Image Enhancement

Files

069-070.pdf (10.01 MB)

Date

2021

Authors

Pang, Youxin
Yuan, Mengke
Chang, Yuchun
Yan, Dong-Ming

Publisher

The Eurographics Association

Abstract

We present a GAN-based network architecture for low-light image enhancement, called Structure and Detail Aware Low-light Image Enhancement GAN (SDALIE-GAN), which is trained with unpaired low/normal-light images. Specifically, complementary Structure Aware Generator (SAG) and Detail Aware Generator (DAG) are designed respectively to generate an enhanced low-light image. Besides, intermediate features from SAG and DAG are integrated through guided map supervised feature attention fusion module, and regularizes the generated samples with an appended intensity adjusting module. We demonstrate the advantages of the proposed approach by comparing it with state-of-the-art low-light image enhancement methods.

        @inproceedings{10.2312:pg.20211393
,
booktitle = {Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers
},
editor = {Lee, Sung-Hee and Zollmann, Stefanie and Okabe, Makoto and Wünsche, Burkhard
},
title = {{SDALIE-GAN: Structure and Detail Aware GAN for Low-light Image Enhancement
}},
author = {Pang, Youxin and 
Yuan, Mengke and 
Chang, Yuchun and 
Yan, Dong-Ming
},
year = {2021
},
publisher = {The Eurographics Association
},
ISBN = {978-3-03868-162-5
},
DOI = {10.2312/pg.20211393
}
}