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Found 2 papers, 1 papers with code
An Efficient Network Design for Face Video Super-resolution
We construct a dataset consisting entirely of face video sequences for network training and evaluation, and conduct hyper-parameter optimization in our experiments.
Real-Time Super-Resolution System of 4K-Video Based on Deep Learning
In order to pursue faster VSR processing ability up to 4K resolution, this paper tries to choose lightweight network structure and efficient upsampling method to reduce the computation required by EGVSR network under the guarantee of high visual quality.
Ranked #2 on
Video Super-Resolution
on MSU Video Upscalers: Quality Enhancement
(VMAF metric)
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