146 citations · 260 across the 5 of their papers we have counts for
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cs.CV2021★ 11 cited
From General to Specific: Online Updating for Blind Super-Resolution
Shang Li, Guixuan Zhang, Zhengxiong Luo +3
Most deep learning-based super-resolution (SR) methods are not image-specific: 1) They are trained on samples synthesized by predefined degradations (e.g. bicubic downsampling), re…
cs.CV2021★ 30 cited
End-to-end Alternating Optimization for Blind Super Resolution
Zhengxiong Luo, Yan Huang, Shang Li +2
Previous methods decompose the blind super-resolution (SR) problem into two sequential steps: \textit{i}) estimating the blur kernel from given low-resolution (LR) image and \texti…