Image Super-resolution
Image Super-Resolution is an image enhancement and reconstruction technique that belongs to the class of methods aimed at recovering high-resolution images from low-resolution inputs, distinguished by its specific focus on restoring fine-scale details and textures through pixel-level refinement guided by prior knowledge or learned representations.
4.1K
Publications
371.1K
Citations
11.2K
Authors
2.2K
Institutions
Publications per year
2017–2026
2.7K
Variants
Sr
4.1K
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Christian Ledig, Lucas Theis, Ferenc Huszár et al. · 2017 · 12.3K citations
1–5 of 4.1K
11.2K
35
h-index
34
h-index
29
h-index
28
h-index
26
h-index
1–5 of 11.2K
2.2K
Wuhan University
Wuhan, China
53 h-index
363 publications
32.4K citations

Chinese Academy of Sciences
Beijing, China
52 h-index
480 publications
32.2K citations

Xidian University
Xi'an, China
49 h-index
459 publications
40K citations

Harbin Institute of Technology
Harbin, China
46 h-index
200 publications
22.5K citations

Northwestern Polytechnical University
Xi'an, China
44 h-index
226 publications
17.8K citations
University of Chinese Academy of Sciences
Beijing, China
43 h-index
192 publications
17.5K citations
Tsinghua University
Beijing, China
38 h-index
305 publications
30.2K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
37 h-index
248 publications
32.6K citations
1–8 of 2.2K
197 publications · 31.9K citations
88
h-index
131 publications · 10.1K citations
60
h-index
Repository · 210 publications · 14.2K citations
49
h-index
69 publications · 4.3K citations
40
h-index
86 publications · 5.5K citations
38
h-index
1–5