Image Denoising on DND (test)
40.7PSNRDualDn
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DualDnBackbone=Restormer2026.04 | 40.7 | 0.9635 | |
| NLFeMFNeighbor configuration=25/15/92026.04 | 40.63 | 0.9644 | |
| CycleISP2026.04 | 40.5 | 0.9655 | |
| PseudoISP2026.04 | 40.36 | 0.9606 | |
| UPI2026.04 | 40.35 | 0.9641 | |
| NBNet2020.12 | 39.89 | 0.955 | |
| MIRNet2020.03 | 39.88 | 0.956 | |
| MIRNetMultiScale=true, Invertible=true, Num of Parameters=31.78, Infer Time=1569.882021.04 | 39.88 | 0.9563 | |
| MIRNet2020.12 | 39.88 | 0.956 | |
| MIRNet2022.01 | 39.88 | 0.956 | |
| MAXIM-3S2022.01 | 39.84 | 0.954 | |
| DPDNBlind Denoising=true2021.04 | 39.83 | 0.9537 | |
| MPRNet2022.01 | 39.8 | 0.954 | |
| DRANet2023.05 | 39.64 | 0.952 | |
| DeamNet2023.05 | 39.63 | 0.953 | |
| VDIR2023.05 | 39.63 | 0.953 | |
| DANet2020.12 | 39.59 | 0.955 | |
| SADNetAdditional training data=true2022.01 | 39.59 | 0.952 | |
| SADNet2023.05 | 39.59 | 0.952 | |
| DANetBlind Denoising=true, MultiScale=true, Noise Generation=true, Num of Parameters=63.01, Infer Time=65.622021.04 | 39.58 | 0.9545 | |
| DANetSupervision Paradigm=Supervised (Real pairs)2022.03 | 39.58 | 0.955 | |
| DANet+2023.05 | 39.58 | 0.955 | |
| InvDNBlind Denoising=true, MultiScale=true, Noise Generation=true, Invertible=true, Num of Parameters=2.64, Infer Time=47.802021.04 | 39.57 | 0.9522 | |
| CycleISPAdditional training data=true2022.01 | 39.56 | 0.952 | |
| CycleISP2023.05 | 39.56 | 0.956 | |
| AINDNetBlind Denoising=true, Num of Parameters=13.762021.04 | 39.53 | 0.9561 | |
| GradNetBlind Denoising=true, Num of Parameters=1.602021.04 | 39.44 | 0.9543 | |
| DRDNBlind Denoising=true2021.04 | 39.43 | 0.9531 | |
| PRIDNetBlind Denoising=true, MultiScale=true2021.04 | 39.42 | 0.9528 | |
| VDN2020.03 | 39.38 | 0.952 | |
| VDNBlind Denoising=true, Num of Parameters=7.81, Infer Time=99.002021.04 | 39.38 | 0.9518 | |
| VDN2020.12 | 39.38 | 0.952 | |
| VDNSupervision Paradigm=Supervised (Real pairs)2022.03 | 39.38 | 0.952 | |
| VDN2022.01 | 39.38 | 0.952 | |
| VDN2023.05 | 39.38 | 0.952 | |
| AINDNetAdditional training data=true2022.01 | 39.37 | 0.951 | |
| AINDNet2023.05 | 39.37 | 0.951 | |
| AINDNet (R)Supervision Paradigm=Supervised (Real pairs), Self-ensemble Strategy=true2022.03 | 39.34 | 0.952 | |
| RIDNetUses additional training data=true2020.03 | 39.26 | 0.953 | |
| RIDNetBlind Denoising=true, Num of Parameters=1.49, Infer Time=196.522021.04 | 39.26 | 0.9528 | |
| RIDNet2020.12 | 39.26 | 0.953 | |
| RIDNetAdditional training data=true2022.01 | 39.26 | 0.953 | |
| RIDNet2023.05 | 39.23 | 0.953 | |
| IERD2021.04 | 39.2 | 0.9524 | |
| Zhou et al.Supervision Paradigm=Supervised (Synthetic pairs)2022.03 | 38.4 | 0.945 | |
| AP-BSN + R3Supervision Paradigm=Self-supervised2022.03 | 38.09 | 0.937 | |
| CBDNetUses additional training data=true2020.03 | 38.06 | 0.942 | |
| CBDNetBlind Denoising=true, Noise Generation=true, Num of Parameters=4.34, Infer Time=80.762021.04 | 38.06 | 0.9421 | |
| CBDNet2020.12 | 38.06 | 0.942 | |
| CBDNetAdditional training data=true2022.01 | 38.06 | 0.942 | |
| CBDNet2023.05 | 38.06 | 0.942 | |
| CBDNetSupervision Paradigm=Supervised (Synthetic pairs)2022.03 | 38.05 | 0.942 | |
| TWSC2021.04 | 37.96 | 0.9416 | |
| TWSC2020.03 | 37.94 | 0.94 | |
| TWSC2020.12 | 37.94 | 0.94 | |
| TWSC2023.05 | 37.94 | 0.94 | |
| D-BSN + MWCNNSupervision Paradigm=Unsupervised (Unpaired)2022.03 | 37.93 | 0.937 | |
| DnCNN-B2023.05 | 37.9 | 0.943 | |
| DnCNNSupervision Paradigm=Supervised (Real pairs), Evaluation Source=evaluated by authors2022.03 | 37.89 | 0.932 | |
| FFDNet+2020.03 | 37.61 | 0.942 | |
| FFDNet+2020.12 | 37.61 | 0.942 | |
| AP-BSNSupervision Paradigm=Self-supervised2022.03 | 37.46 | 0.924 | |
| MCWNNM2020.03 | 37.38 | 0.929 | |
| MCWNNM2020.12 | 37.38 | 0.929 | |
| MCWNNM2023.05 | 37.38 | 0.929 | |
| C2N + DIDNSupervision Paradigm=Unsupervised (Unpaired), Self-ensemble Strategy=true2022.03 | 37.28 | 0.924 | |
| DnCNN2025.03 | 37.11 | 0.932 | |
| DnLUT2025.03 | 36.67 | 0.922 | |
| KSVD2020.03 | 36.49 | 0.898 | |
| KSVD2021.04 | 36.49 | 0.8978 | |
| KSVD2020.12 | 36.49 | 0.898 | |
| SPF-LUT2025.03 | 36.22 | 0.911 | |
| NACSupervision Paradigm=Self-supervised2022.03 | 36.2 | 0.925 | |
| GCBDSupervision Paradigm=Unsupervised (Unpaired)2022.03 | 35.58 | 0.922 | |
| NCBlind Denoising=true2021.04 | 35.43 | 0.8841 | |
| RC-LUT2025.03 | 35.43 | 0.875 | |
| NIBlind Denoising=true2021.04 | 35.11 | 0.8778 | |
| MuLUT2025.03 | 35.11 | 0.868 | |
| WNNM2020.03 | 34.67 | 0.865 | |
| WNNMSupervision Paradigm=Non-learning based2022.03 | 34.67 | 0.865 | |
| FOE2020.03 | 34.62 | 0.885 | |
| BM3D2020.03 | 34.51 | 0.851 | |
| BM3D2021.04 | 34.51 | 0.8507 | |
| BM3D2020.12 | 34.51 | 0.851 | |
| BM3DSupervision Paradigm=Non-learning based2022.03 | 34.51 | 0.851 | |
| BM3D2022.01 | 34.51 | 0.851 | |
| FFDNetNum of Parameters=0.482021.04 | 34.4 | 0.8474 | |
| MLP2020.03 | 34.23 | 0.833 | |
| MLP2022.01 | 34.23 | 0.833 | |
| SR-LUT2025.03 | 33.69 | 0.839 | |
| TNRD2020.03 | 33.65 | 0.831 | |
| TNRD2021.04 | 33.65 | 0.8306 | |
| EPLL2020.03 | 33.51 | 0.824 | |
| EPLL2021.04 | 33.51 | 0.8244 | |
| CBM3D2025.03 | 33.12 | 0.823 | |
| DnCNNBlind Denoising=true, Num of Parameters=0.562021.04 | 32.43 | 0.79 | |
| DnCNNSupervision Paradigm=Supervised (Synthetic pairs)2022.03 | 32.43 | 0.79 | |
| DnCNN2022.01 | 32.43 | 0.79 | |
| MC-WNNM2025.03 | 32.34 | 0.817 |