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leftthomas / ESPCN

A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

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Results in MSU Video Super Resolution Benchmark

Kirillova-Anastasia opened this issue · comments

commented

Hello,
MSU Video Group has recently launched Video Super Resolution Benchmark and evaluated this algorithm.

It takes 14th place by subjective score, 8th place by PSNR, and 14th by our metric ERQAv1.0. You can see the results here.

If you have any other VSR method you want to see in our benchmark, we kindly invite you to participate.
You can submit it for the benchmark, following the submission steps.