Image Denoising on SIDD 1 (val)
39.43PSNRDANet
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DANetSupervision Paradigm=Supervised (Real pairs)2022.03 | 39.43 | 0.956 | |
| VDNSupervision Paradigm=Supervised (Real pairs)2022.03 | 39.26 | 0.955 | |
| AINDNet (R)Supervision Paradigm=Supervised (Real pairs), Self-ensemble Strategy=true2022.03 | 38.84 | 0.951 | |
| AP-BSN + R3Supervision Paradigm=Self-supervised, Training Protocol=trained on SIDD benchmark images in a fully self-supervised fashion2022.03 | 36.91 | 0.931 | |
| AP-BSN + R3Supervision Paradigm=Self-supervised2022.03 | 35.97 | 0.925 | |
| C2N + DIDNSupervision Paradigm=Unsupervised (Unpaired), Self-ensemble Strategy=true2022.03 | 35.35 | 0.937 | |
| DnCNNSupervision Paradigm=Supervised (Real pairs), Evaluation Source=evaluated by authors2022.03 | 35.13 | 0.896 | |
| AP-BSNSupervision Paradigm=Self-supervised2022.03 | 34.9 | 0.9 | |
| R2RSupervision Paradigm=Self-supervised2022.03 | 34.78 | 0.898 | |
| OursAvg. Infer. time (s)=37.2, Iterations=800, EMA weight=0.992024.01 | 34.43 | 0.844 | |
| Zhou et al.Supervision Paradigm=Supervised (Synthetic pairs), Evaluation Source=evaluated by authors2022.03 | 34 | 0.898 | |
| DIPAvg. Infer. time (s)=333.22024.01 | 33.68 | 0.802 | |
| Ours (faster)Avg. Infer. time (s)=7.9, Iterations=200, EMA weight=0.92024.01 | 33.68 | 0.828 | |
| FasterDIPAvg. Infer. time (s)=138.22024.01 | 33.55 | 0.795 | |
| CBDNetSupervision Paradigm=Supervised (Synthetic pairs)2022.03 | 33.28 | 0.868 | |
| Noise2SelfSupervision Paradigm=Self-supervised, Evaluation Source=reported from R2R [32]2022.03 | 29.56 | 0.808 | |
| Noise2VoidSupervision Paradigm=Self-supervised, Evaluation Source=reported from R2R [32]2022.03 | 27.68 | 0.668 | |
| N2S*Avg. Infer. time (s)=114.42024.01 | 26.78 | 0.573 | |
| N2V*Avg. Infer. time (s)=98.12024.01 | 26.74 | 0.627 | |
| WNNMSupervision Paradigm=Non-learning based2022.03 | 25.78 | 0.809 | |
| BM3DSupervision Paradigm=Non-learning based2022.03 | 25.65 | 0.685 | |
| ZS-N2NAvg. Infer. time (s)=15.12024.01 | 25.59 | 0.422 | |
| DnCNNSupervision Paradigm=Supervised (Synthetic pairs)2022.03 | 23.66 | 0.583 |