3D Face Reconstruction On Realy Side View
Metriken
@cheek
@forehead
@mouth
@nose
all
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | @cheek | @forehead | @mouth | @nose | all |
|---|---|---|---|---|---|
| joint-3d-face-reconstruction-and-dense | 1.960 (±0.731) | 2.445 (±0.570) | 1.856 (±0.607) | 1.868 (±0.510) | 2.032 |
| hiface-high-fidelity-3d-face-reconstruction | 1.360 (±0.395) | 1.399 (±0.388) | 1.489 (±0.436) | 0.985 (±0.237) | 1.308 |
| accurate-3d-face-reconstruction-with-weakly | 1.528 (±0.517) | 2.074 (±0.486) | 1.411 (±0.395) | 1.749 (±0.343) | 1.657 |
| a-perceptual-shape-loss-for-monocular-3d-face | 1.469 (±0.495) | 2.454 (±0.608) | 1.820 (±0.557) | 1.685 (±0.475) | 1.857 |
| emoca-emotion-driven-monocular-face-capture | 1.599 (±0.563) | 2.606 (±0.686) | 2.948 (±1.292) | 2.455 (±0.636) | 2.402 |
| a-hierarchical-representation-network-for | 1.038 (±0.322) | 1.906 (±0.479) | 1.285 (±0.528) | 1.642 (±0.310) | 1.468 |
| 3d-face-reconstruction-with-the-geometric | 1.073 (±0.316) | 1.861 (±0.421) | 1.209 (±0.369) | 1.621 (±0.312) | 1.441 |
| synergy-between-3dmm-and-3d-landmarks-for | 1.662 (±0.627) | 2.638 (±0.719) | 1.725 (±0.533) | 2.008 (±0.526) | 2.008 |
| expnet-landmark-free-deep-3d-facial | 1.842 (±0.609) | 3.393 (±1.076) | 2.160 (±0.448) | 2.508 (±0.491) | 2.476 |
| sadrnet-self-aligned-dual-face-regression | 2.010 (±0.715) | 2.490 (±0.566) | 1.560 (±0.462) | 1.771 (±0.521) | 1.958 |
| self-supervised-monocular-3d-face | 1.665 (±0.644) | 2.248 (±0.508) | 1.409 (±0.418) | 1.827 (±0.383) | 1.787 |
| towards-realistic-generative-3d-face-models | 1.112 (±0.278) | 2.142 (±0.554) | 2.218 (±0.952) | 1.576 (±0.338) | 1.762 |
| emoca-emotion-driven-monocular-face-capture | 1.548 (±0.590) | 2.448 (±0.708) | 2.636 (±1.284) | 1.867 (±0.554) | 2.125 |
| learning-an-animatable-detailed-3d-face-model | 1.555 (±0.822) | 2.519 (±0.718) | 2.684 (±1.041) | 2.286 (±1.103) | 2.261 |
| towards-fast-accurate-and-stable-3d-dense-1 | 1.781 (±0.636) | 2.465 (±0.622) | 1.642 (±0.501) | 1.883 (±0.499) | 1.943 |
| learning-an-animatable-detailed-3d-face-model | 1.630 (±1.135) | 2.423 (±0.720) | 2.472 (±1.079) | 1.903 (±1.050) | 2.107 |
| hiface-high-fidelity-3d-face-reconstruction | 1.4392 (±0.429) | 1.427 (±0.400) | 1.505 (±0.454) | 0.992 (±0.246) | 1.341 |
| towards-metrical-reconstruction-of-human | 1.109 (±0.325) | 2.379 (±0.675) | 3.567 (±1.212) | 1.525 (±0.322) | 2.145 |
| learning-to-regress-3d-face-shape-and | 2.027 (±0.710) | 3.081 (±0.950) | 1.994 (±0.604) | 1.921 (±0.451) | 2.256 |