Towards Unified Deep Image Deraining: A Survey and A New Benchmark

Xiang Chen             Jinshan Pan             Jiangxin Dong             Jinhui Tang

Nanjing University of Science and Technology            

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Benchmark

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Mixed Training Track (Rain13K benchmark) [ Training Set | Testing Set | Metrics ]

Independent Training Track [ Rain200L (s2yx) | Rain200H (z9br) | DID-Data (5luo) | DDN-Data (ldzo) | SPA-Data (yjow) | Metrics ]

HQ-RAIN [ Training Set (bxrk) | Testing Set (4zqj) | Metrics | Dropbox Download ] RE-RAIN [ Testing Set (o9px) | Metrics ]

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Results of Mixed Training Track (Rain13K)

Method Test100 Rain100H Rain100L Test2800 Test1200 Average
PSNR SSIM PSNR SSIM PSNR SSIM PSNR SSIM PSNR SSIM PSNR SSIM
Inputs 22.54 0.686 13.55 0.378 26.90 0.838 24.53 0.782 23.63 0.732 22.19 0.683
DerainNet 22.77 0.810 14.92 0.592 27.03 0.884 24.31 0.861 23.38 0.835 22.48 0.796
SIRR 22.35 0.788 16.56 0.486 25.03 0.842 24.43 0.782 26.05 0.822 22.88 0.744
DID-MDN 22.56 0.818 17.35 0.524 25.23 0.741 28.13 0.867 29.95 0.901 24.58 0.770
UMRL 24.41 0.829 26.01 0.832 29.18 0.923 29.97 0.905 30.55 0.910 28.02 0.880
RESCAN 25.00 0.835 26.36 0.786 29.80 0.881 31.29 0.904 30.51 0.882 28.59 0.857
PReNet 24.81 0.851 26.77 0.858 32.44 0.950 31.75 0.916 31.36 0.911 29.42 0.897
MSPFN 27.50 0.876 28.66 0.860 32.40 0.933 32.82 0.930 32.39 0.916 30.75 0.903
MPRNet 30.27 0.897 30.41 0.890 36.40 0.965 33.64 0.938 32.91 0.916 32.73 0.921
HINet 30.26 0.905 30.63 0.893 37.20 0.969 33.87 0.940 33.01 0.918 33.00 0.925
SPAIR 30.35 0.909 30.95 0.892 36.93 0.969 33.34 0.936 33.04 0.922 32.91 0.926
KiT 30.26 0.904 30.47 0.897 36.65 0.969 33.85 0.941 32.81 0.918 32.81 0.929
DGUNet 30.32 0.899 30.66 0.891 37.42 0.969 33.68 0.938 33.23 0.920 33.06 0.923
DGUNet+ 30.86 0.907 31.06 0.897 38.25 0.974 34.01 0.942 33.08 0.916 33.46 0.927
MAXIM-2S 31.17 0.922 30.81 0.903 38.06 0.977 33.80 0.943 32.37 0.922 33.24 0.933
Restormer 32.00 0.923 31.46 0.904 38.99 0.978 34.18 0.944 33.19 0.926 33.96 0.935
SFNet 31.47 0.919 31.90 0.908 38.21 0.974 33.69 0.937 32.55 0.911 33.56 0.929
PromptRestorer 31.84 0.920 31.72 0.908 39.04 0.977 34.40 0.947 33.27 0.928 34.05 0.936

Results of Independent Training Track

Method Rain200L Rain200H DID-Data DDN-Data SPA-Data Average
PSNR SSIM PSNR SSIM PSNR SSIM PSNR SSIM PSNR SSIM PSNR SSIM
Inputs 26.71 0.8438 13.08 0.3734 23.64 0.7794 25.24 0.8098 34.14 0.9415 24.56 0.7496
DDN 34.68 0.9671 26.05 0.8056 30.97 0.9116 30.00 0.9041 36.16 0.9457 31.57 0.9068
DID-MDN 35.40 0.9618 26.61 0.8242 31.30 0.9207 31.49 0.9146 38.16 0.9763 32.59 0.9195
RESCAN 36.09 0.9697 26.75 0.8353 33.38 0.9417 31.94 0.9345 38.11 0.9707 33.25 0.9304
NLEDN 39.13 0.9821 29.79 0.9005 34.68 0.9583 32.15 0.9398 42.97 0.9835 35.74 0.9528
JORDER-E 37.25 0.9752 29.35 0.8905 33.98 0.9502 32.01 0.9321 40.78 0.9801 34.67 0.9456
ID-CGAN 35.19 0.9694 25.02 0.8430 30.25 0.9217 29.06 0.9162 38.47 0.9624 31.59 0.9225
SIRR 34.75 0.9690 26.55 0.8190 30.57 0.9104 30.01 0.9078 35.31 0.9411 31.43 0.9095
PReNet 37.80 0.9814 29.04 0.8991 33.17 0.9481 32.60 0.9459 40.16 0.9816 34.55 0.9512
SPANet 35.79 0.9653 26.27 0.8666 33.04 0.9489 29.85 0.9117 40.24 0.9811 33.03 0.9347
FBL 39.02 0.9827 30.07 0.9021 34.26 0.9320 33.05 0.9334 42.80 0.9824 35.84 0.9465
MSPFN 38.58 0.9827 29.36 0.9034 33.72 0.9550 32.99 0.9333 43.43 0.9843 35.61 0.9517
RCDNet 39.17 0.9885 30.24 0.9048 34.08 0.9532 33.04 0.9472 43.36 0.9831 35.97 0.9554
Syn2Real 35.92 0.9709 27.90 0.8605 32.39 0.9390 29.29 0.9057 35.28 0.9745 32.15 0.9301
SGCN 37.95 0.9822 29.35 0.9055 33.58 0.9477 32.14 0.9364 43.84 0.9862 35.37 0.9516
MPRNet 39.47 0.9825 30.67 0.9110 33.99 0.9590 33.10 0.9347 43.64 0.9844 36.17 0.9543
DualGCN 40.73 0.9886 31.15 0.9125 34.37 0.9620 33.01 0.9489 44.18 0.9902 36.68 0.9604
SPDNet 40.50 0.9875 31.28 0.9207 34.57 0.9560 33.15 0.9457 43.20 0.9871 36.54 0.9594
Uformer 40.20 0.9860 30.80 0.9105 35.02 0.9621 33.95 0.9545 46.13 0.9913 37.22 0.9609
Restormer 40.99 0.9890 32.00 0.9329 35.29 0.9641 34.20 0.9571 47.98 0.9921 38.09 0.9670
IDT 40.74 0.9884 32.10 0.9344 34.89 0.9623 33.84 0.9549 47.35 0.9930 37.78 0.9666
HCN 41.31 0.9892 31.34 0.9248 34.70 0.9613 33.42 0.9512 45.03 0.9907 37.16 0.9634
DRSformer 41.23 0.9894 32.17 0.9326 35.35 0.9646 34.35 0.9588 48.54 0.9924 38.32 0.9676