Single Image Deraining: A Comprehensive Benchmark Analysis (CVPR19)

[Paper Link]

Siyuan Li, Iago Breno Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Junior, Roberto Cesar-Junior, Jiawan Zhang, Xiaojie Guo, Xiaochun Cao

Abstract: We present a comprehensive study and evaluation of existing single image deraining algorithms, using a new large-scale benchmark consisting of both synthetic and real-world rainy images.This dataset highlights diverse data sources and image contents, and is divided into three subsets (rain streak, rain drop, rain and mist), each serving different training or evaluation purposes. We further provide a rich variety of criteria for dehazing algorithm evaluation, ranging from full-reference metrics, to no-reference metrics, to subjective evaluation and the novel task-driven evaluation. Experiments on the dataset shed light on the comparisons and limitations of state-of-the-art deraining algorithms, and suggest promising future directions.

If you find the resource useful, please cite the following

@article{Li2019DerainBenchmark,		
title={Single Image Deraining: A Comprehensive Benchmark Analysis},
author={Siyuan Li, Iago Breno Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Junior, Roberto Cesar-Junior, Jiawan Zhang, Xiaojie Guo and Xiaochun Cao},
journal={IEEE Conference on Computer Vision and Pattern Recognition},
year={2019}
}

1. Derain Code Test by Our Paper.

Algorithms	Paper Link	Projects Link
GMM	Paper Link	Code Link
DDN	Paper Link	Code Link
JORDER	Paper Link	Code Link
ID-CGAN	Paper Link	Code Link
DerainDrop	Paper Link	Code Link
DID-MDN	Paper Link	Code Link

2. Detection Code and Model Test by Our Paper.

Algorithms	Code Link	Pretrain Model Link
Faster-RCNN	Code Link	sh./data/scripts/fetch_faster_rcnn_models.sh
RetinaNet	Code Link	MSCOCO pretrain model
YoloV3	Code Link	https://pjreddie.com/media/files/yolov3.weights
SSD-512	Code Link	https://drive.google.com/file/d/0BzKzrI_SkD1_NVVNdWdYNEh1WTA/view

3. Synthetic Data and Real Data Adopt in Our Paper.

Data Type	Download Link	Download Link
Our RID Dataset ( Rain in Driving with Objects Label)	BaiduYun Access Code:sgf9	GoogleDrive
Our RIS Dataset ( Rain in Surveillance with Objects Label)	BaiduYun Access Code:e8e9	GoogleDrive
Rain Mist	Real Access Code: 6h55	Synthetic Access Code: 8kae
Rain Drop	Real Access Code: n6xf	Synthetic Access Code : wscw
Rain Streak	Real Access Code: npsy	Synthetic Access Code: drxn