Image Denoising on CBSD68 sigma=25 (test)
31.72PSNRVLU-Net
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| VLU-Netprotocol=one-by-one IR2025.03 | 31.72 | — | |
| PromptIRprotocol=one-by-one IR2025.03 | 31.71 | — | |
| IDRprotocol=one-by-one IR2025.03 | 31.6 | — | |
| IDRVenue=CVPR'23, Task Setting=N+H+R+B+L2025.12 | 31.6 | 0.887 | |
| InstructIRType=All-in-one (end-to-end), Params.=16M, Setting=NHR settings2025.03 | 31.52 | — | |
| InstructIRprotocol=one-by-one IR2025.03 | 31.52 | — | |
| Restormerprotocol=one-by-one IR2025.03 | 31.49 | — | |
| VLU-NetType=deep unfolding, Params.=35M, Setting=NHR settings2025.03 | 31.48 | — | |
| AirNetprotocol=one-by-one IR2025.03 | 31.48 | — | |
| PromptIRVenue=NeurIPS'23, Task Setting=N+H+R+B+L2025.12 | 31.47 | 0.886 | |
| GridformerVenue=IJCV'24, Task Setting=N+H+R+B+L2025.12 | 31.45 | 0.885 | |
| Perceive-IRVenue=TIP'25, Task Setting=N+H+R+B+L2025.12 | 31.44 | 0.887 | |
| InstructIRVenue=ECCV'24, Task Setting=N+H+R+B+L2025.12 | 31.4 | 0.887 | |
| GridformerType=All-in-one (end-to-end), Params.=34M, Setting=NHR settings2025.03 | 31.37 | — | |
| NDRType=All-in-one (end-to-end), Params.=39M, Setting=NHR settings2025.03 | 31.36 | — | |
| AdaIRVenue=ICLR'25, Task Setting=N+H+R+B+L2025.12 | 31.35 | 0.889 | |
| ClusIRVenue=Ours, Task Setting=N+H+R+B+L2025.12 | 31.35 | 0.894 | |
| MoCE-IRVenue=CVPR'25, Task Setting=N+H+R+B+L2025.12 | 31.34 | 0.887 | |
| IDRType=All-in-one (end-to-end), Params.=15M, Setting=NHR settings2025.03 | 31.32 | — | |
| DBD4Training Schema=Fixed variance (sigma=25), Training Paradigm=Noisy/Clean2023.09 | 31.31 | 0.8548 | |
| PromptIRType=All-in-one (end-to-end), Params.=33M, Setting=NHR settings2025.03 | 31.31 | — | |
| DFPIRVenue=CVPR'25, Task Setting=N+H+R+B+L2025.12 | 31.29 | 0.889 | |
| AirNetType=All-in-one (end-to-end), Params.=9M, Setting=NHR settings2025.03 | 31.26 | — | |
| DnCNNprotocol=one-by-one IR2025.03 | 31.24 | — | |
| FFDNetprotocol=one-by-one IR2025.03 | 31.21 | — | |
| DGUNetprotocol=one-by-one IR2025.03 | 31.1 | — | |
| N2STraining Schema=Fixed variance (sigma=25), Training Paradigm=Noisy/Noisy2023.09 | 30.99 | 0.8405 | |
| MambaIRType=One-by-one (end-to-end), Params.=27M, Setting=NHR settings2025.03 | 30.95 | — | |
| MeDTraining Schema=Random variance (sigma in [5, 50]), Training Paradigm=Invariant Feature2023.09 | 30.91 | 0.8573 | |
| AirNetVenue=CVPR'22, Task Setting=N+H+R+B+L2025.12 | 30.91 | 0.882 | |
| N2CTraining Schema=Random variance (sigma in [5, 50]), Training Paradigm=Noisy/Clean2023.09 | 30.87 | 0.8538 | |
| N2CTraining Schema=Fixed variance (sigma=25), Training Paradigm=Noisy/Clean2023.09 | 30.83 | 0.8494 | |
| N2NTraining Schema=Random variance (sigma in [5, 50]), Training Paradigm=N2N2023.09 | 30.77 | 0.8423 | |
| MPRNetType=One-by-one (end-to-end), Params.=16M, Setting=NHR settings2025.03 | 30.76 | — | |
| N2NTraining Schema=Fixed variance (sigma=25), Training Paradigm=N2N2023.09 | 30.68 | 0.8334 | |
| RestormerType=One-by-one (end-to-end), Params.=26M, Setting=NHR settings2025.03 | 30.67 | — | |
| DBD4Training Schema=Random variance (sigma in [5, 50]), Training Paradigm=Noisy/Clean2023.09 | 30.64 | 0.8491 | |
| SwinIRprotocol=one-by-one IR2025.03 | 30.59 | — | |
| MeDTraining Schema=Fixed variance (sigma=25), Training Paradigm=Invariant Feature2023.09 | 30.57 | 0.8496 | |
| R2RTraining Schema=Fixed variance (sigma=25), Training Paradigm=Noisy/Noisy2023.09 | 30.45 | 0.8183 | |
| TAPEVenue=ECCV'22, Task Setting=N+H+R+B+L2025.12 | 30.18 | 0.855 | |
| LIRTraining Schema=Fixed variance (sigma=25), Training Paradigm=Invariant Feature2023.09 | 30.01 | 0.8024 | |
| N2STraining Schema=Random variance (sigma in [5, 50]), Training Paradigm=Noisy/Noisy2023.09 | 29.65 | 0.7801 | |
| TransWeatherVenue=CVPR'22, Task Setting=N+H+R+B+L2025.12 | 29 | 0.841 | |
| LIRTraining Schema=Random variance (sigma in [5, 50]), Training Paradigm=Invariant Feature2023.09 | 28.92 | 0.8069 | |
| R2RTraining Schema=Random variance (sigma in [5, 50]), Training Paradigm=Noisy/Noisy2023.09 | 23.91 | 0.4552 |