Image deraining has achieved considerable progress based on supervised learning with
synthetic training pairs, but is usually limited in handling real-world rainy images. Although …

雨天图像会影响计算机视觉任务的效果与精度. 雨天图像常常包含来自不同方向, 大小,
形状的雨点或雨痕, 在对这些雨点, 雨痕进行去除时, 现有的方法往往没有考虑到雨天图像不同 …

Existing image deraining methods often rely on synthetic data, but the domain gap between
synthetic and real data causes significant performance degradation in real-world scenarios …

Image deraining is increasingly critical in the domain of computer vision. However, there is a
lack of fast deraining algorithms for multiple images without temporal and spatial features …