Noise Modeling on SIDD (test)
0.4353IPAWGN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| AWGN2022.06 | 0.4353 | 0.4863 | 0.5865 | 0.4934 | |
| Cam. NLF2022.06 | 0.0513 | 0.1014 | 0.0212 | 0.0596 | |
| Calibrated P-GDescription=Calibrated Poisson-Gaussian noise model2022.06 | 0.0188 | 0.0981 | 0.0332 | 0.0492 | |
| Noise2NoiseFlowTraining=Joint training on noisy/noisy image pairs2022.06 | 0.0125 | 0.0444 | 0.019 | 0.0249 | |
| Noise Flow2022.06 | 0.0112 | 0.0469 | 0.018 | 0.025 |