3D Face Reconstruction On Now Benchmark 1
Metrics
Mean Reconstruction Error (mm)
Median Reconstruction Error
Stdev Reconstruction Error (mm)
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Mean Reconstruction Error (mm) | Median Reconstruction Error | Stdev Reconstruction Error (mm) |
|---|---|---|---|
| learning-to-regress-3d-face-shape-and | 1.53 | 1.21 | 1.31 |
| learning-an-animatable-detailed-3d-face-model | 1.38 | 1.09 | 1.18 |
| 3d-face-reconstruction-with-dense-landmarks | 1.28 | 1.02 | 1.08 |
| collaborative-regression-of-expressive-bodies | 1.49 | 1.18 | 1.25 |
| joint-3d-face-reconstruction-and-dense | 1.98 | 1.50 | 1.88 |
| to-fit-or-not-to-fit-model-based-face | 1.30 | 1.04 | 1.10 |
| learning-a-model-of-facial-shape-and | 1.53 | 1.21 | 1.31 |
| towards-high-fidelity-monocular-face | 1.57 | 1.26 | 1.31 |
| towards-fast-accurate-and-stable-3d-dense-1 | 1.57 | 1.23 | 1.39 |
| look-ma-no-landmarks-unsupervised-model-based | 1.89 | 1.52 | 1.57 |
| synergy-between-3dmm-and-3d-landmarks-for | 1.59 | 1.27 | 1.31 |
| regressing-robust-and-discriminative-3d | 2.33 | 1.84 | 2.05 |
| accurate-3d-face-reconstruction-with-weakly | 1.54 | 1.23 | 1.29 |
| towards-metrical-reconstruction-of-human | 1.11 | 0.90 | 0.92 |
| self-supervised-monocular-3d-face | 1.87 | 1.31 | 2.63 |
| 3d-face-reconstruction-with-dense-landmarks | 1.01 | 0.81 | 0.84 |
| accurate-3d-face-reconstruction-with-weakly | 1.41 | 1.11 | 1.21 |