Rain streaks can severely degrade the visibility, which causes many current computer vision
algorithms fail to work. So it is necessary to remove the rain from images. We propose a …

Single image rain streak removal is an extremely challenging problem due to the presence
of non-uniform rain densities in images. We present a novel density-aware multi-stream …

We propose a new deep network architecture for removing rain streaks from individual
images based on the deep convolutional neural network (CNN). Inspired by the deep …

In this paper, we address a rain removal problem from a single image, even in the presence
of heavy rain and rain streak accumulation. Our core ideas lie in our new rain image model …

Rain streaks, particularly in heavy rain, not only degrade visibility but also make many
computer vision algorithms fail to function properly. In this paper, we address this visibility …

We introduce a deep network architecture called DerainNet for removing rain streaks from
an image. Based on the deep convolutional neural network (CNN), we directly learn the …

This paper looks at this intriguing question: are single images with their details lost during
deraining, reversible to their artifact-free status? We propose an end-to-end detail-recovery …

Single image rain streaks removal has recently witnessed substantial progress due to the
development of deep convolutional neural networks. However, existing deep learning based …

In this paper, we address the problem of video rain removal by constructing deep recurrent
convolutional networks. We visit the rain removal case by considering rain occlusion …

In this paper, we propose an efficient algorithm to remove rain or snow from a single color
image. Our algorithm takes advantage of two popular techniques employed in image …