Multi-scale Attentive Residual Dense Network for Single Image Rain Removal (ACCV'2020)
@inproceedings{chen2020multi,
title={Multi-scale Attentive Residual Dense Network for Single Image Rain Removal},
author={Chen, Xiang and Huang, Yufeng and Xu, Lei},
booktitle={Proceedings of the Asian Conference on Computer Vision},
year={2020}
}
Quantitative Result
The metrics are PSNR/SSIM. Both are evaluated on RGB channels.
| Method | Rain200L | Rain200H | Rain800 | Rain1200 | Rain1400 |
|---|---|---|---|---|---|
| mard_c32g32n8 | 35.51/0.975 | 25.98/0.853 | 24.36/0.841 | 32.48/0.915 | 31.03/0.918 |
Pretrained models can be downloaded from here
Network Complexity
| Input shape | Flops | Params |
|---|---|---|
| (3, 256, 256) | 47.26GFlops | 723.81k |