14 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 14 cited
Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution
Yifeng Zhou, Chuming Lin, Donghao Luo +4
To achieve promising results on blind image super-resolution (SR), some attempts leveraged the low resolution (LR) images to predict the kernel and improve the SR performance. Howe…
cs.CV2022★ 2 cited
Thunder: Thumbnail based Fast Lightweight Image Denoising Network
Yifeng Zhou, Xing Xu, Shuaicheng Liu +3
To achieve promising results on removing noise from real-world images, most of existing denoising networks are formulated with complex network structure, making them impractical fo…
eess.IV2021
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Kim Byeoung-su, Radu Timofte +29
Image denoising is one of the most critical problems in mobile photo processing. While many solutions have been proposed for this task, they are usually working with synthetic data…