2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 2 cited
Dual Degradation-Inspired Deep Unfolding Network for Low-Light Image Enhancement
Huake Wang, Xingsong Hou, Chengcu Liu +3
Although low-light image enhancement has achieved great stride based on deep enhancement models, most of them mainly stress on enhancement performance via an elaborated black-box n…
cs.CV2023★ 1 cited
Division Gets Better: Learning Brightness-Aware and Detail-Sensitive Representations for Low-Light Image Enhancement
Huake Wang, Xiaoyang Yan, Xingsong Hou +3
Low-light image enhancement strives to improve the contrast, adjust the visibility, and restore the distortion in color and texture. Existing methods usually pay more attention to…