LEUGAN:Low-Light Image Enhancement by Unsupervised Generative Attentional Networks

no code implementations • 24 Dec 2020 • Yangyang Qu, Chao Liu, Yongsheng Ou

Due to the lack of real-world datasets, they usually perform poorly when generalized in practice in terms of loss of image edge and color information.

Low-Light Image Enhancement

UMLE: Unsupervised Multi-discriminator Network for Low Light Enhancement

no code implementations • 24 Dec 2020 • Yangyang Qu, Kai Chen, Chao Liu, Yongsheng Ou

To address this problem, we propose a real-time unsupervised generative adversarial network (GAN) containing multiple discriminators, i. e. a multi-scale discriminator, a texture discriminator, and a color discriminator.

Generative Adversarial Network Low-Light Image Enhancement