68 citations · 72 across the 3 of their papers we have counts for
3 papers
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…
eess.IV2021★ 4 cited
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
Ren Yang, Radu Timofte, Jing Liu +69
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results. In this challenge, the new Large-scale Di…
eess.IV2021★ 68 cited
Efficient Multi-Stage Video Denoising with Recurrent Spatio-Temporal Fusion
Matteo Maggioni, Yibin Huang, Cheng Li +3
In recent years, denoising methods based on deep learning have achieved unparalleled performance at the cost of large computational complexity. In this work, we propose an Efficien…