3D Face Reconstruction on MICC Florence 3D Faces (Indoor)
0.94Mean Error (mm)GANFIT
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GANFITsampling=5 frames, multi-image=true2019.02 | 0.94 | 0.106 | — | |
| Dense LandmarksEvaluation Protocol=Multi-view2022.04 | 1.42 | — | — | |
| OursAlignment=ICP, Scale Estimation=Isotropic, Output Type=Video-averaged2018.06 | 1.5 | 0.11 | — | |
| Genova et al.sampling=all frames2019.02 | 1.5 | 0.11 | — | |
| Deng et al.Evaluation Protocol=Multi-view2022.04 | 1.61 | — | — | |
| Dense LandmarksEvaluation Protocol=Single view2022.04 | 1.62 | — | — | |
| Deng et al.Evaluation Protocol=Single view2022.04 | 1.66 | — | — | |
| Piotraschke and BlanzEvaluation Protocol=Multi-view2022.04 | 1.67 | — | — | |
| Genova et al.Evaluation Protocol=Single view2022.04 | 1.78 | — | — | |
| Booth et al.2019.02 | 1.85 | 0.22 | — | |
| Tran et al.Alignment=ICP, Scale Estimation=Isotropic, Output Type=Video-averaged2018.06 | 2.02 | 0.25 | — | |
| Tran et al.sampling=all frames2019.02 | 2.02 | 0.25 | — | |
| Tran et al.Evaluation Protocol=Single view2022.04 | 2.03 | — | — | |
| ASMparameter K=22023.04 | — | — | 1.53 | |
| Deng et al.2023.04 | — | — | 1.61 | |
| Piotraschke and Blanz2023.04 | — | — | 1.67 | |
| Wood et al.2023.04 | — | — | 1.42 |