Work

Difficulty-Guided Variant Degradation Learning for Blind Image Super-Resolution

Year: 2024

Type: article

Source: IEEE Transactions on Neural Networks and Learning Systems

DOI: 10.1109/tnnls.2024.3462490

Authors: Jiaxu Leng, Jia Wang, Mengjingcheng Mo, Ji Gan, Wen Lu, Xinbo Gao

Institutions: Chongqing University of Posts and Telecommunications, Dalian University of Technology, Xidian University

Language: English

Topic: Advanced Image Processing Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Chung-Shan Institute of Science and Technology, Natural Science Foundation of Chongqing, Chongqing Municipality Key Research and Development Program of China

Awards: G1183976855, G3453920714, G3913156051, G4395595032, G5036495542, G5791012862

OpenAlex ID: W4403278148

FWCI: 1.12

Cites: 69

Cited by: 8

Related to: 10