LightingFormer: Transformer-CNN hybrid network for low-light image enhancement

Cong Bi, Wenhua Qian, Jinde Cao, Xue Wang

Abstract: Highlights•Novel Transformer-based low-light image enhancement network.•Transformer-CNN hybrid block models global and local information.•U-Net discriminator adaptively enhances different regions.•Extensive experiments demonstrate the effectiveness of the proposed method.