Image Denoising on Urban100 (test)
36.99PSNRIPT
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| IPTNoise Level=102020.12 | 36.99 | — | — | — | — | |
| RDNNoise Level=102020.12 | 36.69 | — | — | — | — | |
| DnCNNNoise Level=102020.12 | 36.21 | — | — | — | — | |
| CBM3DNoise Level=102020.12 | 36 | — | — | — | — | |
| IRCNNNoise Level=102020.12 | 35.81 | — | — | — | — | |
| FFDNetNoise Level=102020.12 | 35.77 | — | — | — | — | |
| TNRDNoise Level=102020.12 | 33.6 | — | — | — | — | |
| CLIPDenoisingNoise Type=Gaussian, Noise Level=sigma=152024.03 | 33.15 | 0.93 | — | — | — | |
| IPTNoise Level=302020.12 | 32 | — | — | — | — | |
| RDNNoise Level=302020.12 | 31.69 | — | — | — | — | |
| TL-ConvGroup=p82026.04 | 31.06 | 0.8956 | — | — | — | |
| F-ConvGroup=p82026.04 | 31.05 | 0.8962 | — | — | — | |
| B-ConvGroup=p82026.04 | 30.97 | 0.8924 | — | — | — | |
| G-CNNGroup=p42026.04 | 30.75 | 0.8914 | — | — | — | |
| E2-CNNGroup=p82026.04 | 30.66 | 0.8891 | — | — | — | |
| CNN2026.04 | 30.63 | 0.8864 | — | — | — | |
| FFDNetNoise Level=302020.12 | 30.53 | — | — | — | — | |
| SCUNet2026.04 | 30.5 | 0.8887 | — | — | — | |
| CBM3DNoise Level=302020.12 | 30.36 | — | — | — | — | |
| DnCNNNoise Level=302020.12 | 30.28 | — | — | — | — | |
| IRCNNNoise Level=302020.12 | 30.28 | — | — | — | — | |
| N³Netsigma=252018.10 | 30.19 | — | — | — | — | |
| NN3Dsigma=252018.10 | 30.09 | — | — | — | — | |
| DnCNNsigma=252018.10 | 29.97 | — | — | — | — | |
| NLNetsigma=252018.10 | 29.92 | — | — | — | — | |
| FFDNetsigma=252018.10 | 29.92 | — | — | — | — | |
| UNLNetsigma=252018.10 | 29.8 | — | — | — | — | |
| BM3Dsigma=252018.10 | 29.71 | — | — | — | — | |
| IPTNoise Level=502020.12 | 29.71 | — | — | — | — | |
| PDO-eConvGroup=p82026.04 | 29.55 | 0.8628 | — | — | — | |
| RDNNoise Level=502020.12 | 29.29 | — | — | — | — | |
| MemNetNoise Level=302020.12 | 28.93 | — | — | — | — | |
| CLIPDenoisingNoise Type=Poisson, Noise Level=alpha=3.02024.03 | 28.27 | 0.862 | — | — | — | |
| DnCNNNoise Level=502020.12 | 28.16 | — | — | — | — | |
| FFDNetNoise Level=502020.12 | 28.05 | — | — | — | — | |
| CBM3DNoise Level=502020.12 | 27.94 | — | — | — | — | |
| IPTNoise Level=702020.12 | 27.9 | — | — | — | — | |
| HATNoise Type=Poisson, Noise Level=alpha=3.02024.03 | 27.82 | 0.815 | — | — | — | |
| IRCNNNoise Level=502020.12 | 27.69 | — | — | — | — | |
| RDNNoise Level=702020.12 | 27.63 | — | — | — | — | |
| TNRDNoise Level=302020.12 | 27.4 | — | — | — | — | |
| PoLNoise (std)=152020.08 | 27.37 | — | — | — | — | |
| N³Netsigma=502018.10 | 26.82 | — | — | — | — | |
| MemNetNoise Level=502020.12 | 26.53 | — | — | — | — | |
| FFDNetsigma=502018.10 | 26.52 | — | — | — | — | |
| NN3Dsigma=502018.10 | 26.47 | — | — | — | — | |
| FFDNetNoise Level=702020.12 | 26.39 | — | — | — | — | |
| RED30sigma=502018.10 | 26.32 | — | — | — | — | |
| CBM3DNoise Level=702020.12 | 26.31 | — | — | — | — | |
| DnCNNsigma=502018.10 | 26.28 | — | — | — | — | |
| DnCNNNoise Level=702020.12 | 26.17 | — | — | — | — | |
| NLNetsigma=502018.10 | 26.15 | — | — | — | — | |
| UNLNetsigma=502018.10 | 26.14 | — | — | — | — | |
| BM3Dsigma=502018.10 | 25.95 | — | — | — | — | |
| TNRDNoise Level=502020.12 | 25.52 | — | — | — | — | |
| N³Netsigma=702018.10 | 25.15 | — | — | — | — | |
| MemNetNoise Level=702020.12 | 24.96 | — | — | — | — | |
| FFDNetsigma=702018.10 | 24.87 | — | — | — | — | |
| RED30sigma=702018.10 | 24.63 | — | — | — | — | |
| NN3Dsigma=702018.10 | 24.53 | — | — | — | — | |
| DnCNNsigma=702018.10 | 24.36 | — | — | — | — | |
| BM3Dsigma=702018.10 | 24.27 | — | — | — | — | |
| PoLNoise (std)=302020.08 | 23.68 | — | — | — | — | |
| TNRDNoise Level=702020.12 | 22.63 | — | — | — | — | |
| PoLNoise (std)=502020.08 | 22.52 | — | — | — | — | |
| CycleGANNoise (std)=152020.08 | 22.37 | — | — | — | — | |
| CycleGANNoise (std)=302020.08 | 21.93 | — | — | — | — | |
| CycleGANNoise (std)=502020.08 | 21.57 | — | — | — | — | |
| CycleGANNoise (std)=702020.08 | 21.02 | — | — | — | — | |
| PoLNoise (std)=702020.08 | 20.94 | — | — | — | — | |
| CycleGANNoise (std)=1002020.08 | 20 | — | — | — | — | |
| PoLNoise (std)=1002020.08 | 19.42 | — | — | — | — | |
| AdaIRModel Type=All-in-one2026.05 | — | — | 34.1 | 31.68 | 28.29 | |
| AirNetModel Type=All-in-one2026.05 | — | — | 33.16 | 30.83 | 27.45 | |
| DGUNetModel Type=Task-specific2026.05 | — | — | 33.67 | 31.27 | 27.94 | |
| DLModel Type=All-in-one2026.05 | — | — | 21.1 | 21.28 | 20.42 | |
| DnCNNModel Type=Task-specific2026.05 | — | — | 32.98 | 30.81 | 27.59 | |
| DRNetModel Type=All-in-one2026.05 | — | — | 34.45 | 32.15 | 28.89 | |
| FFDNetModel Type=Task-specific2026.05 | — | — | 33.83 | 31.4 | 28.05 | |
| HINetModel Type=Task-specific2026.05 | — | — | 33.49 | 30.94 | 27.32 | |
| IDRModel Type=All-in-one2026.05 | — | — | 33.82 | 31.29 | 28.07 | |
| InstructIRModel Type=All-in-one2026.05 | — | — | 33.77 | 31.4 | 28.13 | |
| IRCNNModel Type=Task-specific2026.05 | — | — | 33.78 | 31.2 | 27.7 | |
| MIRNetV2Model Type=Task-specific2026.05 | — | — | 33.3 | 30.75 | 27.22 | |
| MPRNetModel Type=Task-specific2026.05 | — | — | 34.13 | 31.75 | 28.41 | |
| NAFNetModel Type=Task-specific2026.05 | — | — | 33.14 | 30.64 | 27.2 | |
| RestormerModel Type=Task-specific2026.05 | — | — | 33.72 | 31.26 | 28.03 | |
| SwinIRModel Type=Task-specific2026.05 | — | — | 32.79 | 30.18 | 26.52 | |
| T.weatherModel Type=All-in-one2026.05 | — | — | 29.64 | 27.97 | 26.08 | |
| TAPEModel Type=All-in-one2026.05 | — | — | 32.19 | 29.65 | 25.87 |