3D Face Reconstruction On Florence
评估指标
Mean NME
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | Mean NME |
|---|---|
| large-pose-3d-face-reconstruction-from-a | 5.2667% |
| automated-3d-face-reconstruction-from | - |
| 3d-face-reconstruction-with-dense-landmarks | - |
| towards-fast-accurate-and-stable-3d-dense-1 | - |
| accurate-3d-face-reconstruction-with-weakly | - |
| regressing-robust-and-discriminative-3d | - |
| 3d-face-reconstruction-with-dense-landmarks | - |
| ganfit-generative-adversarial-network-fitting | - |
| 3d-face-morphable-models-in-the-wild | - |
| asm-adaptive-skinning-model-for-high-quality | - |
| face-alignment-across-large-poses-a-3d | 6.3833% |
| regressing-robust-and-discriminative-3d | - |
| joint-3d-face-reconstruction-and-dense | 3.7551% |
| accurate-3d-face-reconstruction-with-weakly | - |
| unsupervised-training-for-3d-morphable-model | - |
| unsupervised-training-for-3d-morphable-model | - |