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Dataset and Network Structure: Towards Frames Selection for Fast Video Deblurring

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Beyond the underlaying unrealistic presumptions in the existing video deblurring datasets and algorithms which presume that a naturally blurred video is fully blurred. In this work. we define a more realistic video frames averaging-based data degradation model by referring to a naturally blurred video as a partially blurred frames sequence. and use it to build REBVIDS. https://nvmeclothingers.shop/product-category/quinceanera/
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