Image Denoising on SIDD
43.42PSNRNAFNet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| NAFNetGMACs=652026.01 | 43.42 | 0.959 | |
| ERN-NetGMACs=422026.01 | 43.09 | 0.956 | |
| GCDN2019.07 | 41.48 | 0.9697 | |
| NLRN2019.07 | 41.24 | 0.9652 | |
| KBNet_sMACS=57.82023.03 | 40.35 | 0.972 | |
| KBNetGMACs=57.82026.01 | 40.35 | 0.972 | |
| BaselineMACs(G)=842022.04 | 40.3 | 0.962 | |
| NAFNetMACs(G)=652022.04 | 40.3 | 0.962 | |
| NAFNetMACS=652023.03 | 40.3 | 0.962 | |
| CondformerMethod Category=DNN models (Supervised)2025.12 | 40.23 | — | |
| UnfoldLDMSources=Ours2025.11 | 40.23 | 0.965 | |
| Restormer + Ours-cBackbone=Restormer, Refinement Module=PTG-RM2024.03 | 40.22 | 0.965 | |
| NAFNetMethod Category=DNN models (Supervised)2025.12 | 40.15 | 0.96 | |
| RestormerMACs(G)=1402022.04 | 40.02 | 0.96 | |
| RestormerMACS=1402023.03 | 40.02 | 0.96 | |
| RestormerBackbone=Restormer2024.03 | 40.02 | 0.96 | |
| Restormer2024.02 | 40.02 | 0.96 | |
| RestormerMethod Category=DNN models (Supervised)2025.12 | 40.02 | 0.96 | |
| RestormerGMACs=1402026.01 | 40.02 | 0.96 | |
| HINetMACs(G)=170.72022.04 | 39.99 | 0.958 | |
| DnCNN2019.07 | 39.98 | 0.9605 | |
| MAXIMMACs(G)=169.52022.04 | 39.96 | 0.96 | |
| MAXIMMACS=169.52023.03 | 39.96 | 0.96 | |
| Uformer + Ours-cBackbone=Uformer, Refinement Module=PTG-RM2024.03 | 39.94 | 0.962 | |
| MPRNet + Ours-cBackbone=MPRNet, Refinement Module=PTG-RM2024.03 | 39.93 | 0.961 | |
| MaIRMethod Category=DNN models (Supervised)2025.12 | 39.92 | 0.959 | |
| UFormerMACs(G)=89.52022.04 | 39.89 | 0.96 | |
| UformerMACS=89.52023.03 | 39.89 | 0.96 | |
| Uformer2022.12 | 39.89 | 0.96 | |
| MambaIR2024.02 | 39.89 | 0.96 | |
| MAXIMGMACs=169.52026.01 | 39.89 | 0.96 | |
| MambaIRSources=ECCV242025.11 | 39.89 | 0.96 | |
| MIRNet-v22022.12 | 39.84 | 0.959 | |
| DeepSNMethod Category=DNN models (Supervised)2025.12 | 39.79 | 0.958 | |
| DeepSN-NetSources=TPAMI252025.11 | 39.79 | 0.958 | |
| DIDNMethod Category=DNN models (Supervised)2025.12 | 39.78 | 0.958 | |
| UformerBackbone=Uformer2024.03 | 39.77 | 0.959 | |
| Uformer2024.02 | 39.77 | 0.959 | |
| NBNetMACs(G)=88.82022.04 | 39.75 | 0.959 | |
| NBNetMACS=88.82023.03 | 39.75 | 0.959 | |
| UformerGMACs=88.82026.01 | 39.75 | 0.959 | |
| MIRNetMACs(G)=7862022.04 | 39.72 | 0.959 | |
| MIRNet2022.03 | 39.72 | 0.959 | |
| SRMNet2022.03 | 39.72 | 0.959 | |
| MIRNetMACS=7862023.03 | 39.72 | 0.959 | |
| MIRNetGMACs=7862026.01 | 39.72 | 0.959 | |
| MPRNetMACs(G)=5882022.04 | 39.71 | 0.958 | |
| MPRNet2022.03 | 39.71 | 0.958 | |
| MPRNet2022.12 | 39.71 | 0.958 | |
| MPRNetBackbone=MPRNet2024.03 | 39.71 | 0.958 | |
| MPRNet2024.02 | 39.71 | 0.958 | |
| TTT-MIMSources=ECCV242025.11 | 39.69 | — | |
| VIRNetSources=TPAMI242025.11 | 39.64 | 0.958 | |
| ADFNetSources=AAAI232025.11 | 39.63 | 0.958 | |
| CycleISPAdditional training data=true2022.03 | 39.52 | 0.957 | |
| DANet+Additional training data=true2022.03 | 39.47 | 0.957 | |
| DeamNet2024.02 | 39.47 | 0.957 | |
| SADNetAdditional training data=true2022.03 | 39.46 | 0.957 | |
| ClipDeMethod Category=DNN models (Supervised)2025.12 | 39.42 | 0.956 | |
| DeamNetAdditional training data=true2022.03 | 39.35 | 0.955 | |
| VDN2022.03 | 39.28 | 0.956 | |
| VDN2023.03 | 39.28 | 0.909 | |
| AdaptIR#param=697K2023.12 | 39.1 | — | |
| MoE#param=667K2023.12 | 39.05 | — | |
| AdaptFor.#param=677K2023.12 | 39.03 | — | |
| FacT#param=537K2023.12 | 39.02 | — | |
| TBSNMethod Category=DNN models (Self-supervised)2025.12 | 39.01 | 0.945 | |
| Adapter#param=691K2023.12 | 39 | — | |
| LoRA#param=995K2023.12 | 38.97 | — | |
| AINDNetAdditional training data=true2022.03 | 38.95 | 0.952 | |
| DAGL2022.03 | 38.94 | 0.953 | |
| DAGL2024.02 | 38.94 | 0.953 | |
| PainterBackbone=ViT-L2022.12 | 38.88 | 0.954 | |
| CBM3D2019.07 | 38.73 | 0.9587 | |
| RIDNetAdditional training data=true2022.03 | 38.71 | 0.951 | |
| RIDNetMACS=892023.03 | 38.71 | 0.914 | |
| RIDNetGMACs=892026.01 | 38.71 | 0.914 | |
| FFDNetMethod Category=DNN models (Supervised)2025.12 | 38.27 | 0.948 | |
| APR-RDMethod Category=DNN models (Self-supervised)2025.12 | 38.23 | — | |
| SDAPSources=ICCV232025.11 | 37.53 | 0.936 | |
| RA-Haar-tSVDMethod Category=Traditional + DNN2025.12 | 37.48 | — | |
| BitonicMethod Category=Traditional denoisers2025.12 | 36.67 | 0.933 | |
| A-Haar-tSVDMethod Category=Traditional + DNN2025.12 | 35.58 | 0.925 | |
| NLHCCMethod Category=Traditional denoisers2025.12 | 35.31 | 0.93 | |
| Haar-tSVDMethod Category=Traditional denoisers2025.12 | 35.05 | 0.914 | |
| Zero-shotMethod Category=DNN models (Self-supervised)2025.12 | 35.05 | 0.922 | |
| CBM3DMethod Category=Traditional denoisers2025.12 | 34.74 | 0.922 | |
| MSt-SVDMethod Category=Traditional denoisers2025.12 | 34.38 | 0.901 | |
| Pixel2PixelMethod Category=Traditional + DNN2025.12 | 34.34 | — | |
| CBDNetAdditional training data=true2022.03 | 30.78 | 0.801 | |
| CBDNet2023.03 | 30.78 | 0.754 | |
| MCWNNMMethod Category=Traditional denoisers2025.12 | 29.54 | 0.888 | |
| DRNetSetting=Three Tasks2026.05 | 28.23 | 0.602 | |
| EPLL2023.03 | 27.11 | 0.87 | |
| KSVD2023.03 | 26.88 | 0.842 | |
| NLM2023.03 | 26.76 | 0.699 | |
| DRNetSetting=Five Tasks2026.05 | 26.72 | 0.758 | |
| WNNM2023.03 | 25.78 | 0.809 | |
| BM3D2022.03 | 25.65 | 0.685 | |
| BM3D2023.03 | 25.65 | 0.685 |