MSU Video Super Resolution Benchmark: Detail Restoration
This is a dataset for a video super-resolution task. The dataset contains the most complex content for the restoration task: faces, text, QR-codes, car numbers, unpatterned textures, small details. Videos include different types of motion and different types of degradation: bicubic interpolation (BI) and Gaussian blurring and downsampling (BD). The resolution of all input video sequences is 480x320.
Source: https://videoprocessing.ai/benchmarks/video-super-resolution.htmlBenchmarks
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MSU Video Super Resolution Benchmark: Detail Restoration
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VRT
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Papers
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