Grayscale Image Denoising on Set12 (test)
29.08PSNR (σ=50)IPT
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| IPTParams [M]=115.332024.11 | 29.08 | — | — | — | — | |
| Hi-IRParams [M]=22.332024.11 | 28.15 | — | — | 33.48 | 31.19 | |
| XformerParams [M]=21.232024.11 | 28.1 | — | — | 33.46 | 31.16 | |
| GRL-BParams [M]=19.812023.03 | 28.03 | — | — | 33.47 | 31.12 | |
| RestormerModel Strategy=Single model for various noise levels2021.11 | 28.01 | — | — | 33.35 | 31.04 | |
| RestormerModel Strategy=Separate model for each noise level2021.11 | 28 | — | — | 33.42 | 31.08 | |
| RestormerParams [M]=26.132023.03 | 28 | — | — | 33.42 | 31.08 | |
| RestormerParams [M]=26.132024.11 | 28 | — | — | 33.42 | 31.08 | |
| SwinIRModel Strategy=Separate model for each noise level2021.11 | 27.91 | — | — | 33.36 | 31.01 | |
| SwinIRParams [M]=11.752023.03 | 27.91 | — | — | 33.36 | 31.01 | |
| GRL-SParams [M]=3.122023.03 | 27.91 | — | — | 33.36 | 31.02 | |
| SwinIRParams [M]=11.752024.11 | 27.91 | — | — | 33.36 | 31.01 | |
| DRUNetModel Strategy=Single model for various noise levels2021.11 | 27.9 | — | — | 33.25 | 30.94 | |
| DRUNetParams [M]=32.642023.03 | 27.9 | — | — | 33.25 | 30.94 | |
| DRUNetParams [M]=32.642024.11 | 27.9 | — | — | 33.25 | 30.94 | |
| DAGLModel Strategy=Separate model for each noise level2021.11 | 27.81 | — | — | 33.28 | 30.93 | |
| GRL-TParams [M]=0.882023.03 | 27.78 | — | — | 33.29 | 30.92 | |
| MWCNNModel Strategy=Separate model for each noise level2021.11 | 27.74 | — | — | 33.15 | 30.79 | |
| DeamNetModel Strategy=Separate model for each noise level2021.11 | 27.74 | — | — | 33.19 | 30.81 | |
| RNANModel Strategy=Separate model for each noise level2021.11 | 27.7 | — | — | — | — | |
| RNANParams [M]=8.962023.03 | 27.7 | — | — | — | — | |
| RNANParams [M]=8.962024.11 | 27.7 | — | — | — | — | |
| FOCNetModel Strategy=Separate model for each noise level2021.11 | 27.68 | — | — | 33.07 | 30.73 | |
| NLRNModel Strategy=Separate model for each noise level2021.11 | 27.64 | — | — | 33.16 | 30.8 | |
| FFDNetModel Strategy=Single model for various noise levels2021.11 | 27.32 | — | — | 32.75 | 30.43 | |
| DnCNNModel Strategy=Single model for various noise levels2021.11 | 27.18 | — | — | 32.67 | 30.35 | |
| DnCNNParams [M]=0.562023.03 | 27.18 | — | — | 32.86 | 30.44 | |
| DnCNNParams [M]=0.562024.11 | 27.18 | — | — | 32.86 | 30.44 | |
| IRCNNModel Strategy=Single model for various noise levels2021.11 | 27.12 | — | — | 32.76 | 30.37 | |
| BM3DNoise Level (σ)=15, Inference Time (s)=0.012023.06 | — | 32.37 | 89.52 | — | — | |
| BM3DNoise Level (σ)=25, Inference Time (s)=0.012023.06 | — | 29.97 | 85.04 | — | — | |
| BM3DNoise Level (σ)=50, Inference Time (s)=0.012023.06 | — | 26.72 | 76.76 | — | — | |
| CDLNetParameters=507k, Noise Level (σ)=15, Inference Time (s)=0.0192023.06 | — | 32.87 | 90.43 | — | — | |
| CDLNetParameters=507k, Noise Level (σ)=25, Inference Time (s)=0.0192023.06 | — | 30.52 | 86.55 | — | — | |
| CDLNetParameters=507k, Noise Level (σ)=50, Inference Time (s)=0.0192023.06 | — | 27.42 | 79.41 | — | — | |
| DnCNNParameters=556k, Noise Level (σ)=15, Inference Time (s)=0.1192023.06 | — | 32.86 | 90.31 | — | — | |
| DnCNNParameters=556k, Noise Level (σ)=25, Inference Time (s)=0.1192023.06 | — | 30.44 | 86.22 | — | — | |
| DnCNNParameters=556k, Noise Level (σ)=50, Inference Time (s)=0.1192023.06 | — | 27.18 | 78.29 | — | — | |
| DnCNNStorage Size=2220KB, Architecture Category=DNN, Noise Level (sigma)=152026.03 | — | 32.86 | — | — | — | |
| GCDNParameters=6M, Noise Level (σ)=15, Inference Time (s)=404.82023.06 | — | 33.14 | 90.72 | — | — | |
| GCDNParameters=6M, Noise Level (σ)=25, Inference Time (s)=404.82023.06 | — | 30.78 | 86.87 | — | — | |
| GCDNParameters=6M, Noise Level (σ)=50, Inference Time (s)=404.82023.06 | — | 27.6 | 79.57 | — | — | |
| GroupCDL-SParameters=550k, Noise Level (σ)=15, Inference Time (s)=0.682023.06 | — | 33.05 | 90.73 | — | — | |
| GroupCDL-SParameters=550k, Noise Level (σ)=25, Inference Time (s)=0.682023.06 | — | 30.75 | 86.93 | — | — | |
| GroupCDL-SParameters=550k, Noise Level (σ)=50, Inference Time (s)=0.682023.06 | — | 27.63 | 80.04 | — | — | |
| GroupSCParameters=68k, Noise Level (σ)=15, Inference Time (s)=22.072023.06 | — | 32.85 | 90.63 | — | — | |
| GroupSCParameters=68k, Noise Level (σ)=25, Inference Time (s)=22.072023.06 | — | 30.44 | 86.42 | — | — | |
| GroupSCParameters=68k, Noise Level (σ)=50, Inference Time (s)=22.072023.06 | — | 27.14 | 77.97 | — | — | |
| MuLUTStorage Size=489KB, Architecture Category=LUT, Noise Level (sigma)=152026.03 | — | 31.5 | — | — | — | |
| NLRNParameters=340k, Noise Level (σ)=15, Inference Time (s)=25.622023.06 | — | 33.16 | 90.7 | — | — | |
| NLRNParameters=340k, Noise Level (σ)=25, Inference Time (s)=25.622023.06 | — | 30.8 | 86.89 | — | — | |
| NLRNParameters=340k, Noise Level (σ)=50, Inference Time (s)=25.622023.06 | — | 27.64 | 79.8 | — | — | |
| ShiftLUT-LStorage Size=60KB, Architecture Category=LUT, Noise Level (sigma)=152026.03 | — | 32.43 | — | — | — | |
| SPFLUT+DFCStorage Size=596KB, Architecture Category=LUT, Noise Level (sigma)=152026.03 | — | 32.01 | — | — | — | |
| TinyLUT-FStorage Size=187KB, Architecture Category=LUT, Noise Level (sigma)=152026.03 | — | 32.22 | — | — | — |