Fast Spatio-Temporal Residual Network for Video Super-Resolution

CVPR, 2019.

Cited by: 24|Bibtex|Views37
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Recently, deep learning based video super-resolution (SR) methods have achieved promising performance. To simultaneously exploit the spatial and temporal information of videos, employing 3-dimensional (3D) convolutions is a natural approach. However, straight utilizing 3D convolutions may lead to an excessively high computational comple...More

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