Work

Detail-Preserving Diffusion Models for Low-Light Image Enhancement

Year: 2024

Type: article

Source: IEEE Transactions on Circuits and Systems for Video Technology

DOI: 10.1109/tcsvt.2024.3502801

Authors: Yan Huang, Xiaoshan Liao, Jinxiu Liang, Boxin Shi, Yong Xu, Patrick Le Callet

Institutions: South China University of Technology, Peking University, École Centrale de Nantes, Centre National de la Recherche Scientifique, Laboratoire des Sciences du Numérique de Nantes, Nantes Université

Language: English

Topic: Image Enhancement Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation, Guangzhou Municipal Science and Technology Project

Awards: G1588467153, 恶劣光照条件下的人脸检测关键理论与算法研究, G3598382722, G3833898155, G420488216, G5371958917, G8473328578

OpenAlex ID: W4404562967

FWCI: 2.52

Cites: 72

Cited by: 18

Related to: 10