Is There Tradeoff between Spatial and Temporal in Video Super-Resolution?

13 Mar 2020Haochen ZhangDong LiuZhiwei Xiong

Recent advances of deep learning lead to great success of image and video super-resolution (SR) methods that are based on convolutional neural networks (CNN). For video SR, advanced algorithms have been proposed to exploit the temporal correlation between low-resolution (LR) video frames, and/or to super-resolve a frame with multiple LR frames... (read more)

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