Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring

ECCV 2020 Zhihang ZhongYe GaoYinqiang ZhengBo Zheng

Real-time video deblurring still remains a challenging task due to the complexity of spatially and temporally varying blur itself and the requirement of low computational cost. To improve the network efficiency, we adopt residual dense blocks into RNN cells, so as to efficiently extract the spatial features of the current frame... (read more)

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