Illuminant Estimation on LSMI Nikon 1.0
1.9Mean ErrorOurs
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Oursrequires_training=true2025.02 | 1.9 | 1.46 | 1.44 | 1.55 | |
| One-Netrequires_training=true2025.02 | 2.34 | 1.73 | 1.9 | 2.02 | |
| LSMI-Urequires_training=true2025.02 | 2.36 | 1.36 | 1.98 | 2.07 | |
| GWrequires_training=false2025.02 | 3.43 | 2.23 | 2.96 | 3.02 | |
| Qian et al.requires_training=false2025.02 | 3.53 | 3.43 | 2.48 | 2.74 | |
| Yang et al.requires_training=false2025.02 | 3.78 | 3.92 | 2.69 | 2.83 | |
| Cheng et al.requires_training=false2025.02 | 5.53 | 4.56 | 4.16 | 4.84 | |
| Weighted GErequires_training=false2025.02 | 6.6 | 6.29 | 4.53 | 5.04 | |
| SoGrequires_training=false2025.02 | 6.8 | 5.03 | 5.99 | 6.3 | |
| GEn=1, p=7, sigma=4, requires_training=false2025.02 | 6.9 | 5.5 | 5.36 | 6.11 | |
| GEn=2, p=7, sigma=4, requires_training=false2025.02 | 7.14 | 5.53 | 5.5 | 6.28 | |
| WPrequires_training=false2025.02 | 9.72 | 6.34 | 9.75 | 9.57 |