47 citations · 81 across the 4 of their papers we have counts for
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cs.CV2022★ 2 cited
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution
Fuzhi Yang, Huan Yang, Yanhong Zeng +2
Blind super-resolution (SR) aims to recover high-quality visual textures from a low-resolution (LR) image, which is usually degraded by down-sampling blur kernels and additive nois…
cs.CV2020★ 47 cited
Learning Texture Transformer Network for Image Super-Resolution
Fuzhi Yang, Huan Yang, Jianlong Fu +2
We study on image super-resolution (SR), which aims to recover realistic textures from a low-resolution (LR) image. Recent progress has been made by taking high-resolution images a…