Images captured by outdoor vision systems can often be affected by rain weather, resulting
in severe degradation of the visual quality of the captured images. Therefore, image …

In recent years, Transformer has witnessed significant progress in the single image
deraining field. However, most existing methods do not consider the latent sparse …

Recently, removing rain streaks from a single image has attracted a lot of attention because
rain streaks can severely degrade the perceptual quality of the image and cause many …

Image deraining is still a vital and challenging low-level computer vision task, the purpose of
which is to restore rain-free images from images degraded by rain streaks. Recently, many …

Images captured during rainy days present the challenge of maintaining a symmetrical
balance between foreground elements (like rain streaks) and the background scenery. The …

The existing deraining methods have obtained noteworthy improvements, but it is a
challenging problem to extend the methods for complicated rain conditions where rain …

Single image deraining has attracted considerable attention because rain streaks can
severely degrade image quality and affect performance in computer vision tasks. While …

Rainy degeneration damages an image's visual effect and influences the performance of
subsequent vision tasks. Various deep learning methods for single image deraining have …

Computer vision technology is increasingly being used in areas such as intelligent security
and autonomous driving. Users need accurate and reliable visual information, but the …

Recently, Transformer-based architecture has been introduced into single image deraining
tasks due to its advantage in modeling non-local information. However, existing approaches …