3D Facial Landmark Localization on DAD-3DHeads (test)
1.68Error (High Subset)FaceLift
Evaluation Results
| Method | Links | ||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FaceLiftbackbone=ViT2024.05 | 1.68 | 2.28 | 1.81 | 2.07 | 1.72 | 1.95 | 2.72 | 1.7 | 1.9 | 1.95 | 1.85 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FaceLifttraining_samples=1k2024.05 | 1.78 | 2.37 | 1.91 | 2.17 | 1.81 | 2.04 | 2.89 | 1.82 | 2.01 | 2.03 | 1.94 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FaceLiftview_mode=MF only2024.05 | 1.8 | 2.48 | 1.96 | 2.24 | 1.87 | 2.12 | 2.78 | 1.83 | 2.1 | 2.08 | 1.88 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FaceLiftbackbone=ResNet-1522024.05 | 1.81 | 2.47 | 1.96 | 2.23 | 1.87 | 2.08 | 3.05 | 1.8 | 2.07 | 2.09 | 1.98 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAD-3DNet2024.05 | 1.84 | 2.48 | 1.99 | 2.26 | 1.87 | 2.15 | 2.88 | 1.83 | 2.05 | 2.16 | 1.96 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAD-3DNet+trained_on_eval_samples=true2024.05 | 1.84 | 2.43 | 1.98 | 2.21 | 1.87 | 2.13 | 2.75 | 1.83 | 2.03 | 2.13 | 1.97 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FaceLifttraining_samples=1002024.05 | 1.89 | 2.5 | 2.02 | 2.3 | 1.93 | 2.14 | 3.13 | 1.92 | 2.14 | 2.14 | 2.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FaceLiftbackbone=ResNet-502024.05 | 1.92 | 2.75 | 2.11 | 2.45 | 2.03 | 2.23 | 3.55 | 1.91 | 2.24 | 2.29 | 2.07 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FAN3D2024.05 | 1.99 | 3.22 | 2.21 | 2.91 | 2.08 | 2.51 | 4.46 | 2.02 | 2.32 | 2.67 | 2.36 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FaceLiftview_mode=MV only2024.05 | 2.01 | 2.85 | 2.17 | 2.6 | 2.1 | 2.33 | 3.75 | 2.03 | 2.36 | 2.35 | 2.21 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| 3DDFAv22024.05 | 2.13 | 2.97 | 2.33 | 2.67 | 2.17 | 2.51 | 3.77 | 2.23 | 2.45 | 2.49 | 2.43 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SynergyNet2024.05 | 2.27 | 3.7 | 2.55 | 3.29 | 2.35 | 2.78 | 6.15 | 2.44 | 2.74 | 2.95 | 2.67 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| 3DDFA+2024.05 | 2.7 | 4.04 | 2.88 | 3.79 | 2.81 | 3.21 | 5.7 | 2.82 | 3.22 | 3.26 | 3.14 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| 3DDFA2024.05 | 2.8 | 4.5 | 2.95 | 4.34 | 2.99 | 3.41 | 6.71 | 2.94 | 3.45 | 3.53 | 3.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| 3DDFA2024.05 | — | — | — | — | — | — | — | — | — | — | — | 3.45 | 4.79 | 3.51 | 2.76 | 2.78 | 2.99 | 3.21 | 3.48 | 4.33 | 2.98 | 3.73 | 4.62 | 3.26 | — | — | — | — | |
| 3DDFA-V22022.04 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 3.58 | 7.63 | 3.168 | 3.195 | |
| 3DDFA+2024.05 | — | — | — | — | — | — | — | — | — | — | — | 3.21 | 4.5 | 3.26 | 2.6 | 2.56 | 2.75 | 2.98 | 3.26 | 3.95 | 2.86 | 3.42 | 4.06 | 3.07 | — | — | — | — | |
| 3DDFAv22024.05 | — | — | — | — | — | — | — | — | — | — | — | 2.45 | 3.76 | 2.37 | 1.77 | 1.92 | 2.01 | 2.33 | 2.49 | 2.77 | 2.22 | 2.59 | 2.81 | 2.39 | — | — | — | — | |
| DAD-3DNetEvaluation Protocol=trained on evaluation data samples2024.05 | — | — | — | — | — | — | — | — | — | — | — | 2.08 | 2.91 | 2.27 | 1.54 | 1.68 | 1.77 | 1.87 | 2.19 | 2.45 | 1.95 | 2.17 | 2.21 | 2.06 | — | — | — | — | |
| DAD-3DNet2022.04 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 2.302 | 6.049 | 1.748 | 2.036 | |
| DAD-3DNet+Evaluation Protocol=trained on evaluation data samples2024.05 | — | — | — | — | — | — | — | — | — | — | — | 2.06 | 2.86 | 2.26 | 1.54 | 1.68 | 1.75 | 1.87 | 2.16 | 2.37 | 1.93 | 2.14 | 2.19 | 2.04 | — | — | — | — | |
| FaceLift2024.05 | — | — | — | — | — | — | — | — | — | — | — | 1.91 | 3.13 | 2.02 | 1.28 | 1.33 | 1.45 | 1.76 | 2 | 2.07 | 1.77 | 1.99 | 2.07 | 1.88 | — | — | — | — | |
| FaceLiftBackbone=ResNet-502024.05 | — | — | — | — | — | — | — | — | — | — | — | 2.23 | 3.71 | 2.23 | 1.59 | 1.51 | 1.71 | 2.05 | 2.36 | 2.38 | 2.05 | 2.35 | 2.68 | 2.16 | — | — | — | — | |
| FaceLiftBackbone=ResNet-1522024.05 | — | — | — | — | — | — | — | — | — | — | — | 2.06 | 3.46 | 2.11 | 1.36 | 1.45 | 1.53 | 1.89 | 2.17 | 2.18 | 1.88 | 2.17 | 2.51 | 1.99 | — | — | — | — | |
| FaceLiftTraining Modality=Multi-Frame only2024.05 | — | — | — | — | — | — | — | — | — | — | — | 2.06 | 3.62 | 2.1 | 1.31 | 1.4 | 1.45 | 1.76 | 2.26 | 2.26 | 1.88 | 2.17 | 2.17 | 2.04 | — | — | — | — | |
| FaceLiftTraining Modality=Multi-View only2024.05 | — | — | — | — | — | — | — | — | — | — | — | 2.33 | 3.46 | 2.31 | 1.7 | 1.83 | 1.95 | 2.14 | 2.43 | 2.56 | 2.13 | 2.44 | 2.85 | 2.24 | — | — | — | — | |
| FaceLiftTraining Sample Count=1002024.05 | — | — | — | — | — | — | — | — | — | — | — | 2.12 | 3.27 | 2.21 | 1.47 | 1.59 | 1.71 | 1.96 | 2.22 | 2.26 | 1.96 | 2.22 | 2.5 | 2.06 | — | — | — | — | |
| FaceLiftTraining Sample Count=1k2024.05 | — | — | — | — | — | — | — | — | — | — | — | 2 | 3.17 | 2.09 | 1.4 | 1.47 | 1.57 | 1.85 | 2.09 | 2.13 | 1.86 | 2.09 | 2.24 | 1.96 | — | — | — | — | |
| FaceSynthetics2022.04 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 4.363 | 15.781 | 3.159 | 4.934 | |
| FAN3D2024.05 | — | — | — | — | — | — | — | — | — | — | — | 2.46 | 4.24 | 2.34 | 1.58 | 1.77 | 1.82 | 2.35 | 2.52 | 2.64 | 2.26 | 2.58 | 2.77 | 2.41 | — | — | — | — | |
| JVCR2022.04 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 4.455 | 12.514 | 3.843 | 4.949 | |
| SynergyNet2024.05 | — | — | — | — | — | — | — | — | — | — | — | 2.81 | 4.17 | 2.87 | 1.96 | 2.19 | 2.39 | 2.59 | 2.91 | 3.27 | 2.52 | 2.99 | 3.65 | 2.68 | — | — | — | — |