VESR-Net: The Winning Solution to Youku Video Enhancement and Super-Resolution Challenge

VESR-Net: The Winning Solution to Youku Video Enhancement and Super-Resolution Challenge

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 vide...

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Veröffentlicht in:arXiv.org 2020-03
Hauptverfasser: Chen, Jiale, Xu, Tan, Shan, Chaowei, Liu, Sen, Chen, Zhibo
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Feature maps
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Xu, Tan
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Liu, Sen
Chen, Zhibo
description 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.
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title VESR-Net: The Winning Solution to Youku Video Enhancement and Super-Resolution Challenge
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