Illuminant Estimation on LSMI Sony 1.0
1.76MeanOurs
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Oursrequires_training=true2025.02 | 1.76 | 1.27 | 1.51 | 1.56 | |
| One-Netrequires_training=true2025.02 | 2.33 | 1.55 | 2.02 | 2.08 | |
| LSMI-Urequires_training=true2025.02 | 3.53 | 1.59 | 3.3 | 3.33 | |
| Yang et al.requires_training=false2025.02 | 4.14 | 3.15 | 3.26 | 3.53 | |
| GWrequires_training=false2025.02 | 4.53 | 2.59 | 4.12 | 4.2 | |
| Qian et al.requires_training=false2025.02 | 4.77 | 4.92 | 3.26 | 3.55 | |
| Cheng et al.requires_training=false2025.02 | 5.59 | 4.99 | 3.88 | 4.26 | |
| GEn=1, p=7, sigma=4, requires_training=false2025.02 | 6.67 | 5.77 | 4.46 | 5.21 | |
| GEn=2, p=7, sigma=4, requires_training=false2025.02 | 6.85 | 6 | 4.61 | 5.5 | |
| SoGrequires_training=false2025.02 | 6.89 | 5.19 | 5.52 | 5.89 | |
| Weighted GErequires_training=false2025.02 | 7.94 | 7.19 | 5.08 | 6.07 | |
| WPrequires_training=false2025.02 | 10.46 | 7.41 | 9.15 | 9.99 |