Face Shape Estimation on NoW Challenge original (test)
0.9Non-Metrical Median ErrorMICA
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| MICA2022.04 | 0.9 | 1.11 | 0.92 | 1.08 | 1.37 | 1.17 | |
| FOCUS2022.04 | 1.04 | 1.3 | 1.1 | 1.41 | 1.85 | 1.7 | |
| DECA2022.04 | 1.09 | 1.38 | 1.18 | 1.35 | 1.8 | 1.64 | |
| Deng et al.Framework=PyTorch2022.04 | 1.11 | 1.41 | 1.21 | 1.62 | 2.21 | 2.08 | |
| Average Face (FLAME)Model=FLAME2022.04 | 1.21 | 1.53 | 1.31 | 1.49 | 1.92 | 1.68 | |
| RingNet2022.04 | 1.21 | 1.53 | 1.31 | 1.5 | 1.98 | 1.77 | |
| Deng et al.Framework=TensorFlow2022.04 | 1.23 | 1.54 | 1.29 | 2.26 | 2.9 | 2.51 | |
| 3DDFA-V22022.04 | 1.23 | 1.57 | 1.39 | 1.53 | 2.06 | 1.95 | |
| Dib et al.2022.04 | 1.26 | 1.57 | 1.31 | 1.59 | 2.12 | 1.93 | |
| MGCNet2022.04 | 1.31 | 1.87 | 2.63 | 1.7 | 2.47 | 3.02 | |
| PRNet2022.04 | 1.5 | 1.98 | 1.88 | — | — | — | |
| UMDFA2022.04 | 1.52 | 1.89 | 1.57 | 2.31 | 2.97 | 2.57 | |
| 3DMM-CNN2022.04 | 1.84 | 2.33 | 2.05 | 3.91 | 4.84 | 4.02 |