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GIA-Net: Global Information Aware Network for Low-light Imaging [article]

Zibo Meng, Runsheng Xu, Chiu Man Ho
2020 arXiv   pre-print
Extensive ablation studies have been conducted to verify the effectiveness of the proposed GIA-Net for low-light imaging by utilizing global information.  ...  In this paper, we propose a global information aware (GIA) module, which is capable of extracting and integrating the global information into the network to improve the performance of low-light imaging  ...  introducing global information into the network for low-light imaging.  ... 
arXiv:2009.06604v1 fatcat:dzsxdrarn5dvpnzb22nb2mkfri

Attention based Broadly Self-guided Network for Low light Image Enhancement [article]

Zilong Chen, Yaling Liang, Minghui Du
2021 arXiv   pre-print
by SGN,we propose a Attention based Broadly self-guided network (ABSGN) for real world low-light image Enhancement.such a broadly strategy is able to handle the noise at different exposures.The proposed  ...  network is validated by many mainstream benchmark.Additional experimental results show that the proposed network outperforms most of state-of-the-art low-light image Enhancement solutions.  ...  Gia-net: Cong. Zero-reference deep curve estimation for low-light Global information aware network for low-light imaging. In image enhancement.  ... 
arXiv:2112.06226v2 fatcat:v6mn327srfaz5awrujyxknqgqy