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- W3010167627 abstract "This paper introduces VESR-Net, a method for video enhancement and super-resolution (VESR). We design a separate non-local module to explore the relations among video frames and fuse video frames efficiently, and a channel attention residual block to capture the relations among feature maps for video frame reconstruction in VESR-Net. We conduct experiments to analyze the effectiveness of these designs in VESR-Net, which demonstrates the advantages of VESR-Net over previous state-of-the-art VESR methods. It is worth to mention that among more than thousands of participants for Youku video enhancement and super-resolution (Youku-VESR) challenge, our proposed VESR-Net beat other competitive methods and ranked the first place." @default.
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- W3010167627 date "2020-03-04" @default.
- W3010167627 modified "2023-10-16" @default.
- W3010167627 title "VESR-Net: The Winning Solution to Youku Video Enhancement and Super-Resolution Challenge" @default.
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- W3010167627 doi "https://doi.org/10.48550/arxiv.2003.02115" @default.
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