RAW-to-RAW Mapping on MDRAW Samsung S9 to iPhone-X (test)
35.29PSNRMERIT
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| MERITTraining Paradigm=Unsupervised2026.03 | 35.29 | 91 | 0.015 | |
| Xie et al.Training Paradigm=Unsupervised2026.03 | 29.73 | 90 | 0.025 | |
| Afifi et al.Training Paradigm=Semi-supervised2026.03 | 29.65 | 89 | 0.027 | |
| Chai et al.Training Paradigm=Unsupervised2026.03 | 29.35 | 86 | 0.028 | |
| RawformerTraining Paradigm=Unsupervised2026.03 | 29.32 | 90 | 0.023 | |
| UVCGANTraining Paradigm=Unsupervised2026.03 | 27.22 | 82 | 0.031 | |
| Global calibration (poly)Training Paradigm=Non-learning2026.03 | 24.88 | 72 | 0.048 | |
| CycleGANTraining Paradigm=Unsupervised2026.03 | 24.55 | 76 | 0.046 | |
| Global calibration (3×3)Training Paradigm=Non-learning2026.03 | 24.52 | 71 | 0.049 | |
| Swin-UNITTraining Paradigm=Unsupervised2026.03 | 23.92 | 72 | 0.057 | |
| CutTraining Paradigm=Unsupervised2026.03 | 23.51 | 71 | 0.05 | |
| FDATraining Paradigm=Non-learning2026.03 | 20.95 | 48 | 0.06 |