Single Image Deraining

52 papers with code • 9 benchmarks • 4 datasets

This task has no description! Would you like to contribute one?

Libraries

Use these libraries to find Single Image Deraining models and implementations
2 papers
1,131
2 papers
640
2 papers
484
2 papers
378

Most implemented papers

Restormer: Efficient Transformer for High-Resolution Image Restoration

swz30/restormer CVPR 2022

Since convolutional neural networks (CNNs) perform well at learning generalizable image priors from large-scale data, these models have been extensively applied to image restoration and related tasks.

Multi-Stage Progressive Image Restoration

swz30/MPRNet CVPR 2021

At each stage, we introduce a novel per-pixel adaptive design that leverages in-situ supervised attention to reweight the local features.

Pre-Trained Image Processing Transformer

huawei-noah/Pretrained-IPT CVPR 2021

To maximally excavate the capability of transformer, we present to utilize the well-known ImageNet benchmark for generating a large amount of corrupted image pairs.

Progressive Image Deraining Networks: A Better and Simpler Baseline

csdwren/PReNet CVPR 2019

To handle this issue, this paper provides a better and simpler baseline deraining network by considering network architecture, input and output, and loss functions.

NASNet: A Neuron Attention Stage-by-Stage Net for Single Image Deraining

MS-Mind/MS-Code-02 6 Dec 2019

In this paper, we propose a novel end-to-end Neuron Attention Stage-by-Stage Net (NASNet), which can solve all types of rain model tasks efficiently.

Multi-Scale Progressive Fusion Network for Single Image Deraining

kuihua/MSPFN CVPR 2020

In this work, we explore the multi-scale collaborative representation for rain streaks from the perspective of input image scales and hierarchical deep features in a unified framework, termed multi-scale progressive fusion network (MSPFN) for single image rain streak removal.

SDNet: mutil-branch for single image deraining using swin

2023-MindSpore-4/Code11 31 May 2021

The former implements the basic rain pattern feature extraction, while the latter fuses different features to further extract and process the image features.

Clearing the Skies: A deep network architecture for single-image rain removal

jinnovation/rainy-image-dataset 7 Sep 2016

We introduce a deep network architecture called DerainNet for removing rain streaks from an image.

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset

stevewongv/SPANet CVPR 2019

Second, to better cover the stochastic distribution of real rain streaks, we propose a novel SPatial Attentive Network (SPANet) to remove rain streaks in a local-to-global manner.

EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining

tsingqguo/efficientderain 19 Sep 2020

To fill this gap, in this paper, we regard the single-image deraining as a general image-enhancing problem and originally propose a model-free deraining method, i. e., EfficientDeRain, which is able to process a rainy image within 10~ms (i. e., around 6~ms on average), over 80 times faster than the state-of-the-art method (i. e., RCDNet), while achieving similar de-rain effects.