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Image Deraining on Rain100L

42PSNRNeRD-Rain-S
36.727238.096139.46540.8339Nov 18, 2021Aug 24, 2022May 31, 2023Mar 5, 2024Dec 10, 2024Sep 15, 2025Jun 22, 2026

Evaluation results

MethodLinks
NeRD-Rain-SSupervision Type=Supervised2025.03420.99
NeRD-Rain-SSupervision=Supervised2026.05420.99
AdaptIR#param=697K, GPU memory=~8G, training time=~10h, multi-task setting=true2023.1241.270.988
DRSformerSupervision=Supervised2026.0541.230.983
MLMIRSetting=Task-aligned, Evaluation Channel=Y channel2026.0640.380.985
MHNet2023.0240.040.985
MHNetSetting=Task-aligned, Evaluation Channel=Y channel2026.0640.040.985
DRSformer2023.0240.010.989
SDLNet2023.0239.520.981
ENS-Deraining2026.0539.370.979
M²IRVenue=Ours, Method Category=All-in-One2026.0339.360.986
M2IRCategory=All-In-One, Setting=One-by-one2026.0339.330.986
PPTformerSetting=Task-aligned, Evaluation Channel=Y channel2026.0639.330.983
U2Former2023.0239.310.982
FreqMamba2026.0539.180.981
ACLSetting=Task-aligned, Evaluation Channel=Y channel2026.0639.180.983
VMambaIR2026.0539.090.979
EvoIRParams (M)=36.682025.1239.070.985
EfDeRain+Setting=Task-aligned, Evaluation Channel=Y channel2026.0639.030.972
BaryIRVenue=TPAMI’26, Method Category=All-in-One2026.0339.020.985
MEASNetVenue=TCSVT’25, Method Category=All-in-One2026.03390.985
Restormer2021.1138.990.978
Restormer2023.0238.990.975
Restormer2026.0538.990.978
MIRAGEVenue=ICLR’26, Method Category=All-in-One2026.0338.940.985
VLU-NetParams.=35M, Model Capacity=Heavy2026.0538.930.984
CEA-IRParams.=22M, Model Capacity=Heavy2026.0538.920.985
AdaIRsetting=single-task2024.0338.90.985
AdaIRCategory=All-In-One, Setting=One-by-one2026.0338.90.985
MambaIR2026.0538.780.977
ClusIRVenue=Ours, Setting=N+H+R2025.1238.710.984
Ours OHvariant=OH2024.1138.690.982
CWP-Net2026.0338.680.984
DFPIR2025.0538.650.982
DFPIRVenue=CVPR’25, Setting=N+H+R2025.1238.650.982
DFPIRParams (M)=31.12025.1238.650.982
AdaIR2024.1138.640.983
Ours SWvariant=SW2024.1138.640.982
AdaIRVenue=ICLR’25, Setting=N+H+R2025.1238.640.983
AdaIRParams (M)=28.772025.1238.640.983
AdaIRVenue=ICLR’25, Method Category=All-in-One2026.0338.640.983
CEA-IR-SParams.=10M, Model Capacity=Light2026.0538.620.984
Res-HAIRParams.=29M, Model Capacity=Heavy2026.0538.590.983
MoCE-IRVenue=CVPR’25, Setting=N+H+R2025.1238.570.984
MoCE-IRParams (M)=25.352025.1238.570.984
MoCE-IRVenue=CVPR’25, Method Category=All-in-One2026.0338.570.984
MoCE-IRParams.=25M, Model Capacity=Heavy2026.0538.570.984
VLU-Net2025.1238.540.982
Pool-AIOVenue=TIP’25, Method Category=All-in-One2026.0338.540.983
VLU-NetType=All-in-one, Params.=35.4M2026.0538.540.982
SE-SymUNet2025.1238.440.983
Perceive-IRCategory=All-In-One, Setting=One-by-one2026.0338.410.984
PromptIRSupervision Type=Supervised2025.0338.340.983
IR-SDE2026.0538.30.98
Perceive-IRVenue=TIP’25, Setting=N+H+R2025.1238.290.98
Perceive-IRParams (M)=42.022025.1238.290.98
Perceive-IRVenue=TIP’25, Method Category=All-in-One2026.0338.290.98
MoCE-IR-SParams.=11M, Model Capacity=Light2026.0538.220.983
UniProcessorParams.=1002M, Model Capacity=Heavy2026.0538.170.982
MPRNetRestoration Approach Category=General Image Restoration2024.0338.160.981
DRSformerCategory=Task-Specific, Setting=One-by-one2026.0338.140.983
SymUNet2025.1238.050.981
MoCE-IR2025.1238.040.982
MoCE-IRType=All-in-one, Params.=25.4M2026.0538.040.982
AdaIRRestoration Approach Category=Specialized All-in-One Restoration2024.0338.020.981
AdaIRType=All-in-one, Params.=28.8M2026.0538.020.981
FSNetSetting=Task-aligned, Evaluation Channel=Y channel2026.06380.972
InstructIR2025.0537.980.978
InstructIRVenue=ECCV’24, Setting=N+H+R2025.1237.980.978
InstructIRParams (M)=15.842025.1237.980.978
InstructIR-3DVenue=ECCV’24, Method Category=All-in-One2026.0337.980.978
PromptIR+ArtParams.=33M, Model Capacity=Heavy2026.0537.940.982
DFC-IRType=All-in-one, Params.=33.1M2026.0537.910.983
DA-RCOTType=All-in-one, Params.=52.3M2026.0537.870.98
AdaptIRNumber of parameters=697K, Training time=~8h, GPU memory=~8G2023.1237.810.981
DaAIRTraining Protocol=Single-Degradation2024.0537.780.982
LoRA-IRParams.=–, Model Capacity=Heavy2026.0537.750.979
DFPIR2025.1237.620.978
DFPIRType=All-in-one, Params.=31.1M2026.0537.620.978
Lin et al.2026.0337.580.979
RestormerSupervision Type=Supervised2025.0337.570.974
RestormerSupervision=Supervised2026.0537.570.974
Fourmer2026.0537.470.97
NAFNet2023.0237.40.964
SPAIR2023.0237.30.978
HINet2023.0237.280.97
FSNetCategory=General-Purpose, Setting=One-by-one2026.0337.270.98
Perceive-IR2025.1237.250.977
MPRNet2023.0237.20.965
GridformerVenue=IJCV’24, Setting=N+H+R2025.1237.150.972
GridformerParams (M)=34.072025.1237.150.972
GridformerVenue=IJCV’24, Method Category=All-in-One2026.0337.150.972
GridformerParams.=34M, Model Capacity=Heavy2026.0537.150.972
DaAIRParameters=6M2024.0537.10.978
PromptIRsetting=single-task2024.0337.040.979
PromptIRTraining Protocol=Single-Degradation2024.0537.040.979
PromptIRNumber of parameters=97M, Training time=~84h, GPU memory=~128G2023.1237.040.979
PromptIRCategory=All-In-One, Setting=One-by-one2026.0337.040.979
NAFNetSupervision Type=Supervised2025.03370.978
SPAIR2021.1136.930.969