Point Cloud Evaluation on ETH3D high-resolution (train)
91.85Accuracy (2cm)COLMAP
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| COLMAPMethod Category=Traditional2023.03 | 91.85 | 55.13 | 67.66 | 98.75 | 79.47 | 87.61 | |
| HPM-MVSfastMethod Category=Learning2023.03 | 91.17 | 73.2 | 80.86 | 98.23 | 92.41 | 94.97 | |
| ACMMPMethod Category=Traditional2023.03 | 91.03 | 77.27 | 83.42 | 97.96 | 93.19 | 95.46 | |
| ACMMMethod Category=Traditional2023.03 | 90.67 | 70.42 | 78.86 | 98.12 | 86.4 | 91.7 | |
| HPM-MVSMethod Category=Learning2023.03 | 90.66 | 79.5 | 84.58 | 97.97 | 95.59 | 96.22 | |
| ACMPMethod Category=Traditional2023.03 | 90.12 | 72.15 | 79.79 | 97.97 | 87.15 | 92.03 | |
| PCF-MVSMethod Category=Traditional2023.03 | 84.11 | 75.73 | 79.42 | 95.98 | 90.42 | 92.98 | |
| IterMVSMethod Category=Learning2023.03 | 73.62 | 61.87 | 66.36 | 94.48 | 78.85 | 85.25 | |
| MVSTERMethod Category=Learning2023.03 | 68.08 | 76.92 | 72.06 | 91.97 | 91.91 | 91.73 | |
| PatchMatchNetMethod Category=Learning2023.03 | 64.81 | 65.43 | 64.21 | 89.98 | 83.28 | 85.7 |