Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Framework. (arXiv:2103.12318v2 [cs.CV] UPDATED)

Video deraining is an important task in computer vision as the unwanted rain
hampers the visibility of videos and deteriorates the robustness of most
outdoor vision systems. Despite the significant success which has been achieved
for video deraining recently, two major challenges remain: 1) how to exploit
the vast information among continuous frames to extract powerful
spatio-temporal features across both the spatial and temporal domains, and 2)
how to restore high-quality derained videos with a high-speed approach. In this
paper, …

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