Recurrent squeeze-and-excitation context aggregation net for single image deraining
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 …
algorithms fail to work. So it is necessary to remove the rain from images. We propose a …
Survey on rain removal from videos or a single image
Rain can cause performance degradation of outdoor computer vision tasks. Thus, the
exploration of rain removal from videos or a single image has drawn considerable attention …
exploration of rain removal from videos or a single image has drawn considerable attention …
Learning multiple adverse weather removal via two-stage knowledge learning and multi-contrastive regularization: Toward a unified model
In this paper, an ill-posed problem of multiple adverse weather removal is investigated. Our
goal is to train a model with a'unified'architecture and only one set of pretrained weights that …
goal is to train a model with a'unified'architecture and only one set of pretrained weights that …
Data-driven single image deraining: A comprehensive review and new perspectives
Abstract Single Image D eraining (SID) aims at recovering the rain-free background from an
image degraded by rain streaks. For the powerful fitting ability of deep neural networks and …
image degraded by rain streaks. For the powerful fitting ability of deep neural networks and …
A model-driven deep neural network for single image rain removal
Deep learning (DL) methods have achieved state-of-the-art performance in the task of single
image rain removal. Most of current DL architectures, however, are still lack of sufficient …
image rain removal. Most of current DL architectures, however, are still lack of sufficient …
All snow removed: Single image desnowing algorithm using hierarchical dual-tree complex wavelet representation and contradict channel loss
WT Chen, HY Fang, CL Hsieh… - Proceedings of the …, 2021 - openaccess.thecvf.com
Snow is a highly complicated atmospheric phenomenon that usually contains snowflake,
snow streak, and veiling effect (similar to the haze or the mist). In this literature, we propose …
snow streak, and veiling effect (similar to the haze or the mist). In this literature, we propose …
Uncertainty guided multi-scale residual learning-using a cycle spinning cnn for single image de-raining
Single image de-raining is an extremely challenging problem since the rainy image may
contain rain streaks which may vary in size, direction and density. Previous approaches …
contain rain streaks which may vary in size, direction and density. Previous approaches …
Lightweight pyramid networks for image deraining
Existing deep convolutional neural networks (CNNs) have found major success in image
deraining, but at the expense of an enormous number of parameters. This limits their …
deraining, but at the expense of an enormous number of parameters. This limits their …
Single image deraining: From model-based to data-driven and beyond
The goal of single-image deraining is to restore the rain-free background scenes of an
image degraded by rain streaks and rain accumulation. The early single-image deraining …
image degraded by rain streaks and rain accumulation. The early single-image deraining …
Syn2real transfer learning for image deraining using gaussian processes
Recent CNN-based methods for image deraining have achieved excellent performance in
terms of reconstruction error as well as visual quality. However, these methods are limited in …
terms of reconstruction error as well as visual quality. However, these methods are limited in …