RAW-to-RAW mapping on MDRAW iPhone-X -> Samsung S9 (test)
31.9PSNRMERIT
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| MERITTraining Paradigm=Unsupervised2026.03 | 31.9 | 85 | 0.021 | |
| Afifi et al.Training Paradigm=Semi-supervised2026.03 | 28.58 | 90 | 0.033 | |
| RawformerTraining Paradigm=Unsupervised2026.03 | 28.45 | 88 | 0.034 | |
| Xie et al.Training Paradigm=Unsupervised2026.03 | 28.09 | 89 | 0.037 | |
| Chai et al.Training Paradigm=Unsupervised2026.03 | 27.78 | 86 | 0.037 | |
| UVCGANTraining Paradigm=Unsupervised2026.03 | 26.1 | 79 | 0.037 | |
| CycleGANTraining Paradigm=Unsupervised2026.03 | 25.21 | 76 | 0.042 | |
| Swin-UNITTraining Paradigm=Unsupervised2026.03 | 23.77 | 75 | 0.051 | |
| CutTraining Paradigm=Unsupervised2026.03 | 22.44 | 71 | 0.053 | |
| FDATraining Paradigm=Non-learning2026.03 | 19.18 | 47 | 0.09 | |
| Global calibration (3×3)Training Paradigm=Non-learning2026.03 | 17.03 | 51 | 0.16 | |
| Global calibration (poly)Training Paradigm=Non-learning2026.03 | 16.88 | 50 | 0.16 |