Synthetic Rain Datasets
Introduced by Jiang et al. in Multi-Scale Progressive Fusion Network for Single Image Deraining
The Synthetic Rain Datasets consists of 13,712 clean-rain image pairs gathered from multiple datasets (Rain14000, Rain1800, Rain800, Rain12). With a single trained model, evaluation could be performed on various test sets, including Rain100H, Rain100L, Test100, Test2800, and Test1200.
PSNR and SSIM are computed on Y-channel in YCbCr color space.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
Rain100L
|
IPT
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Rain100H
|
DA-CLIP
|
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Test1200
|
CAPTNet
|
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Test100
|
Restormer
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Test2800
|
KBNet
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Papers
| Paper | Code | Results | Date | Stars |
|---|
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