EGVD: Event-Guided Video Deraining.

Recent research has explored leveraging event cameras, known for their prowess in capturing scenes with nonuniform motion, for video deraining, leading to performance improvements. However, the existing event-based method still faces the challenge that the complex spatiotemporal distribution disrupts temporal information fusion and complicates feature separation. This article proposes a novel end-to-end learning framework for video deraining that effectively extracts the rich dynamic information provided by the event stream.