Image Denoising on SIDD (test)
45.62PSNRPAP + HB
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| PAP + HBNoise Model Category=Real-noise-based, Backbone=U-shape net (SID), Synthesis method=pattern-aligned patch sampling with high-bit refinement2021.10 | 45.62 | 0.978 | |
| ELDNoise Model Category=Physics-based, Backbone=U-shape net (SID)2021.10 | 45.39 | 0.977 | |
| Calibrated P-GNoise Model Category=Physics-based, Backbone=U-shape net (SID)2021.10 | 45.38 | 0.976 | |
| Pixel-wiseNoise Model Category=Real-noise-based, Backbone=U-shape net (SID)2021.10 | 45.33 | 0.976 | |
| Camera-Aware GANNoise Model Category=DNN-based, Backbone=U-shape net (SID)2021.10 | 45 | 0.975 | |
| Noise FlowNoise Model Category=DNN-based, Backbone=U-shape net (SID)2021.10 | 44.68 | 0.973 | |
| Paired dataNoise Model Category=Real-noise-based, Backbone=U-shape net (SID)2021.10 | 44.35 | 0.971 | |
| NAFNetMAC (G)=63.6, Supervised=true, Trained with=Real (SIDD)2023.09 | 40.31 | 0.9667 | |
| RestormerMAC (G)=140.99, Supervised=true, Trained with=Real (SIDD)2023.09 | 40.06 | 0.9601 | |
| MAXIM-3S2022.01 | 39.96 | 0.96 | |
| MIRNet2022.01 | 39.72 | 0.959 | |
| MPRNet2022.01 | 39.71 | 0.958 | |
| CycleISPAdditional training data=true2022.01 | 39.52 | 0.957 | |
| CycleISP2023.05 | 39.52 | 0.957 | |
| DRANet2023.05 | 39.5 | 0.957 | |
| SADNetAdditional training data=true2022.01 | 39.46 | 0.957 | |
| SADNet2023.05 | 39.46 | 0.957 | |
| DANet+2023.05 | 39.43 | 0.956 | |
| DeamNet2023.05 | 39.35 | 0.955 | |
| InvDNBlind Denoising=true, MultiScale=true, Noise Generation=true, Invertible=true, Num of Parameters=2.64, Infer Time=47.802021.04 | 39.28 | 0.955 | |
| VDN2022.01 | 39.28 | 0.956 | |
| VDN2023.05 | 39.28 | 0.956 | |
| VDNBlind Denoising=true, Num of Parameters=7.81, Infer Time=99.002021.04 | 39.26 | 0.955 | |
| VDIR2023.05 | 39.26 | 0.955 | |
| VDN2019.08 | 39.26 | 0.955 | |
| DANetBlind Denoising=true, MultiScale=true, Noise Generation=true, Num of Parameters=63.01, Infer Time=65.622021.04 | 39.25 | 0.955 | |
| AINDNet + RTBlind/Non-blind=Blind, Training Env.=All, Geometric self-ensemble=true2020.02 | 39.15 | 0.955 | |
| AINDNet + TFBlind/Non-blind=Blind, Training Env.=All, Geometric self-ensemble=true2020.02 | 39.08 | 0.953 | |
| AINDNetBlind Denoising=true, Num of Parameters=13.762021.04 | 39.08 | 0.953 | |
| AINDNet + RTBlind/Non-blind=Blind, Training Env.=All, Geometric self-ensemble=false2020.02 | 39.04 | 0.955 | |
| AINDNet + TFBlind/Non-blind=Blind, Training Env.=All, Geometric self-ensemble=false2020.02 | 38.95 | 0.952 | |
| AINDNetAdditional training data=true2022.01 | 38.95 | 0.952 | |
| AINDNet2023.05 | 38.95 | 0.952 | |
| LANBackbone=Restormer, Iteration=20, Loss=ZS-N2N2024.12 | 38.86 | 0.965 | |
| AINDNet(R)Blind/Non-blind=Blind, Training Env.=Real, Geometric self-ensemble=true2020.02 | 38.84 | 0.951 | |
| AINDNet(R)Blind/Non-blind=Blind, Training Env.=Real, Geometric self-ensemble=false2020.02 | 38.73 | 0.95 | |
| RIDNetAdditional training data=true2022.01 | 38.71 | 0.951 | |
| RIDNet2023.05 | 38.71 | 0.954 | |
| LANBackbone=Restormer, Iteration=20, Loss=Nbr2Nbr2024.12 | 38.38 | 0.958 | |
| LANBackbone=Uformer, Iteration=20, Loss=ZS-N2N2024.12 | 38.36 | 0.964 | |
| GradNetBlind Denoising=true, Num of Parameters=1.602021.04 | 38.34 | 0.946 | |
| pretrainedBackbone=Restormer, Iteration=0, Adaptation=None2024.12 | 38.03 | 0.951 | |
| LANBackbone=Uformer, Iteration=20, Loss=Nbr2Nbr2024.12 | 38.02 | 0.956 | |
| pretrainedBackbone=Uformer, Iteration=0, Adaptation=None2024.12 | 37.55 | 0.95 | |
| MeDMAC (G)=26.18, Supervised=false, Trained with=NP + SIDD2023.09 | 37.52 | 0.9434 | |
| MM-BSNMAC (G)=339.46, Supervised=false, Trained with=Real (SIDD)2023.09 | 37.37 | 0.9362 | |
| Baseline (Unpruned)sparsity=0%, model_scope=Full Model2026.04 | 37.2632 | 0.9327 | |
| LANBackbone=DnCNN, Iteration=20, Loss=Nbr2Nbr2024.12 | 36.8 | 0.935 | |
| LANBackbone=DnCNN, Iteration=20, Loss=ZS-N2N2024.12 | 36.78 | 0.938 | |
| pretrainedBackbone=DnCNN, Iteration=0, Adaptation=None2024.12 | 36.6 | 0.93 | |
| DnCNN2025.03 | 36.45 | 0.9 | |
| AINDNet(S)Blind/Non-blind=Blind, Training Env.=Synthetic, Geometric self-ensemble=true2020.02 | 35.89 | 0.905 | |
| MeDMAC (G)=26.18, Supervised=false, Trained with=Synthetic (NP)2023.09 | 35.81 | 0.8278 | |
| MeDTraining Data=Noise Pool (DIV2K)2023.09 | 35.81 | 0.8278 | |
| AINDNet(S)Blind/Non-blind=Blind, Training Env.=Synthetic, Geometric self-ensemble=false2020.02 | 35.66 | 0.903 | |
| BM3D2022.01 | 35.65 | 0.685 | |
| DnLUT2025.03 | 35.44 | 0.875 | |
| TWSC2023.05 | 35.33 | 0.933 | |
| Hybrid QUBOsparsity=36%, model_scope=Full Model2026.04 | 35.0715 | 0.914 | |
| TT Refinementsparsity=36%, model_scope=Full Model2026.04 | 35.0715 | 0.914 | |
| SPF-LUT2025.03 | 34.91 | 0.865 | |
| Taylor (Greedy)sparsity=36%, model_scope=Full Model2026.04 | 34.8082 | 0.8974 | |
| CVF-SIDMAC (G)=77.86, Supervised=false, Trained with=Real (SIDD)2023.09 | 34.71 | 0.9179 | |
| In-Camera P-GNoise Model Category=Physics-based, Backbone=U-shape net (SID)2021.10 | 34.64 | 0.72 | |
| RC-LUT2025.03 | 33.88 | 0.839 | |
| MCWNNM2023.05 | 33.4 | 0.879 | |
| CBDNetBlind/Non-blind=Blind, Training Env.=All, Geometric self-ensemble=false2020.02 | 33.28 | 0.868 | |
| CBDNetBlind Denoising=true, Noise Generation=true, Num of Parameters=4.34, Infer Time=80.762021.04 | 33.28 | 0.868 | |
| CBDNet2019.08 | 33.28 | 0.868 | |
| MuLUT2025.03 | 33.24 | 0.83 | |
| N2NMAC (G)=26.18, Supervised=false, Trained with=Real (SIDD)2023.09 | 32.82 | 0.7297 | |
| N2NTraining Data=Noise Pool (DIV2K)2023.09 | 32.82 | 0.7297 | |
| N2SMAC (G)=26.18, Supervised=false, Trained with=Real (SIDD)2023.09 | 30.98 | 0.6018 | |
| N2STraining Data=Noise Pool (DIV2K)2023.09 | 30.98 | 0.6018 | |
| CBDNetAdditional training data=true2022.01 | 30.78 | 0.801 | |
| CBDNet2023.05 | 30.78 | 0.951 | |
| N2CTraining Data=Noise Pool (DIV2K)2023.09 | 30.37 | 0.6028 | |
| DBD4Training Data=Noise Pool (DIV2K)2023.09 | 30.23 | 0.6173 | |
| CBM3D2025.03 | 30.14 | 0.702 | |
| R2RTraining Data=Noise Pool (DIV2K)2023.09 | 29.64 | 0.5708 | |
| MC-WNNM2025.03 | 29.45 | 0.682 | |
| SR-LUT2025.03 | 29.38 | 0.634 | |
| LIRTraining Data=Noise Pool (DIV2K)2023.09 | 28.76 | 0.5296 | |
| EPLL2021.04 | 27.11 | 0.87 | |
| KSVDBlind/Non-blind=Non-blind, Geometric self-ensemble=false2020.02 | 26.88 | 0.842 | |
| KSVD2021.04 | 26.88 | 0.842 | |
| WNNMBlind/Non-blind=Non-blind, Geometric self-ensemble=false2020.02 | 25.78 | 0.809 | |
| WNNM2019.08 | 25.78 | 0.809 | |
| BM3DBlind/Non-blind=Non-blind, Geometric self-ensemble=false2020.02 | 25.65 | 0.685 | |
| BM3D2021.04 | 25.65 | 0.685 | |
| CBM3D2019.08 | 25.65 | 0.685 | |
| Classic QUBO (L1)sparsity=36%, model_scope=Full Model2026.04 | 24.7963 | 0.6346 | |
| TNRDBlind/Non-blind=Non-blind, Training Env.=Synthetic, Geometric self-ensemble=false2020.02 | 24.73 | 0.643 | |
| TNRD2021.04 | 24.73 | 0.643 | |
| MLPBlind/Non-blind=Non-blind, Training Env.=Synthetic, Geometric self-ensemble=false2020.02 | 24.71 | 0.641 | |
| MLP2022.01 | 24.71 | 0.641 | |
| MLP2019.08 | 24.71 | 0.641 | |
| CDnCNN-BBlind/Non-blind=Blind, Training Env.=Synthetic, Geometric self-ensemble=false2020.02 | 23.66 | 0.583 | |
| DnCNNBlind Denoising=true, Num of Parameters=0.562021.04 | 23.66 | 0.583 | |
| DnCNN2022.01 | 23.66 | 0.583 |