Face Alignment on AFLW 2000-3D 68 pts (test)
3.2Mean NMEMGCNet
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| MGCNetvariant=Full (Ours+MGCNet)2020.07 | 3.2 | 2.72 | 3.12 | 3.76 | — | |
| Binarized Convolutional Landmark LocalizersArchitecture=Proposed Block2017.03 | 3.26 | 2.47 | 3.01 | 4.31 | — | |
| Hierarchical, Parallel & Multi-Scale Residual Block2018.08 | 3.26 | 2.47 | 3.01 | 4.31 | — | |
| MGCNetvariant=Baseline (Ours+BL)2020.07 | 3.45 | 2.75 | 3.28 | 4.31 | — | |
| 3DDFA-V2meta-joint optimization=true, landmark-regression regularization=true, short-video-synthesis=true2020.09 | 3.51 | 2.63 | 3.42 | 4.48 | — | |
| 3DDFA-V2meta-joint optimization=true, landmark-regression regularization=true, short-video-synthesis=false2020.09 | 3.59 | 2.75 | 3.49 | 4.53 | — | |
| FAN2018.01 | 3.62 | 2.77 | 3.48 | 4.6 | 0.92 | |
| PRN2018.03 | 3.62 | 2.75 | 3.51 | 4.61 | — | |
| PRN2020.07 | 3.62 | 2.75 | 3.55 | 5.11 | — | |
| PRNet2020.09 | 3.62 | 2.75 | 3.51 | 4.61 | — | |
| JVCR2018.01 | 3.64 | 2.94 | 3.46 | 4.53 | 0.81 | |
| 3D-FAN2020.09 | 3.76 | 3.15 | 3.53 | 4.6 | — | |
| 3DDFATraining Set=300W-LP2018.04 | 3.79 | 2.84 | 3.57 | 4.96 | 1.08 | |
| 3DDFA-TPAMI2020.09 | 3.79 | 2.84 | 3.57 | 4.96 | — | |
| CMD2020.07 | 3.98 | — | — | — | — | |
| 3DSTNArchitecture=VGG-162017.07 | 4.49 | 3.15 | 4.33 | 5.98 | 1.42 | |
| 3DSTN2018.01 | 4.49 | 3.15 | 4.33 | 5.98 | 1.42 | |
| 3DSTN2018.03 | 4.49 | 3.15 | 4.33 | 5.98 | — | |
| 3DSTN2020.07 | 4.49 | 3.15 | 4.33 | 5.98 | — | |
| 3DSTN2020.09 | 4.49 | 3.15 | 4.33 | 5.98 | — | |
| DeFA2018.03 | 4.5 | — | — | — | — | |
| DeFA2020.09 | 4.5 | — | — | — | — | |
| 3DDFA+SDM2017.07 | 4.94 | 3.43 | 4.24 | 7.17 | 1.97 | |
| 3DDFA+SDM2018.01 | 4.94 | 3.43 | 4.24 | 7.17 | 1.97 | |
| 3DDFA + SDMRefinement=SDM2018.03 | 4.94 | 3.43 | 4.24 | 7.17 | — | |
| 3DDFA+SDM2015.11 | 4.94 | 3.43 | 4.24 | 7.17 | 1.97 | |
| 3DDFA+SDM2017.03 | 4.94 | 3.43 | 4.24 | 7.17 | — | |
| 3DDFA+SDM2018.08 | 4.94 | 3.43 | 4.24 | 7.17 | — | |
| 3D-FAN2020.07 | 4.94 | 3.61 | 4.34 | 6.87 | — | |
| 3DDFA+SDMextra_component=SDM2020.09 | 4.94 | 3.43 | 4.24 | 7.17 | — | |
| 3DSTNArchitecture=AlexNet2017.07 | 5.41 | 3.71 | 5.33 | 7.19 | 1.74 | |
| 3DDFA2017.07 | 5.42 | 3.78 | 4.54 | 7.93 | 2.21 | |
| 3DDFA2018.01 | 5.42 | 3.78 | 4.54 | 7.93 | 2.21 | |
| 3DDFA2018.03 | 5.42 | 3.78 | 4.54 | 7.93 | — | |
| 3DDFA (Pre)Training Set=300W-LP2018.04 | 5.42 | 3.78 | 4.54 | 7.93 | 2.21 | |
| 3DDFA2015.11 | 5.42 | 3.78 | 4.54 | 7.93 | 2.21 | |
| 3DDFA2017.03 | 5.42 | 3.78 | 4.54 | 7.93 | — | |
| 3DDFA2018.08 | 5.42 | 3.78 | 4.54 | 7.93 | — | |
| 3DDFA2020.07 | 5.42 | 3.78 | 4.54 | 7.93 | — | |
| 3DDFA2020.09 | 5.42 | 3.78 | 4.54 | 7.93 | — | |
| DCNTraining Set=300W-LP2018.04 | 5.44 | 3.93 | 4.67 | 7.71 | 2 | |
| SDM2017.07 | 6.12 | 3.67 | 4.94 | 9.76 | 3.21 | |
| SDMtraining_dataset=300W-LP2018.01 | 6.12 | 3.67 | 4.94 | 9.76 | 3.21 | |
| SDM2018.03 | 6.12 | 3.67 | 4.94 | 9.67 | — | |
| SDMTraining Set=300W-LP2018.04 | 6.12 | 3.67 | 4.94 | 9.76 | 3.21 | |
| SDMTraining Set=300W-LP2015.11 | 6.12 | 3.67 | 4.94 | 9.76 | 3.21 | |
| SDMTraining dataset=300W-LP2017.03 | 6.12 | 3.67 | 4.94 | 9.76 | — | |
| SDMTraining Set=300W-LP2018.08 | 6.12 | 3.67 | 4.94 | 9.76 | — | |
| SDM2020.09 | 6.12 | 3.67 | 4.94 | 9.67 | — | |
| MDMTraining Set=300W-LP2018.04 | 6.41 | 4.85 | 5.92 | 8.47 | 1.86 | |
| Yu et al.2020.09 | 6.41 | 3.62 | 6.06 | 9.56 | — | |
| CFSSTraining Set=300W-LP2018.04 | 7.76 | 4.77 | 6.71 | 11.79 | 3.63 | |
| RCPR2017.07 | 7.8 | 4.26 | 5.96 | 13.18 | 4.74 | |
| RCPRtraining_dataset=300W-LP2018.01 | 7.8 | 4.26 | 5.96 | 13.18 | 4.74 | |
| RCPRTraining Set=300W-LP2018.04 | 7.8 | 4.26 | 5.96 | 13.18 | 4.74 | |
| RCPRTraining Set=300W-LP2015.11 | 7.8 | 4.26 | 5.96 | 13.18 | 4.74 | |
| RCPRTraining dataset=300W-LP2017.03 | 7.8 | 4.26 | 5.96 | 13.18 | — | |
| RCPRTraining Set=300W-LP2018.08 | 7.8 | 4.26 | 5.96 | 13.18 | — | |
| ESR2017.07 | 7.99 | 4.6 | 6.7 | 12.67 | 4.19 | |
| ESRtraining_dataset=300W-LP2018.01 | 7.99 | 4.6 | 6.7 | 12.67 | 4.19 | |
| ESRTraining Set=300W-LP2018.04 | 7.99 | 4.6 | 6.7 | 12.67 | 4.19 | |
| ESRTraining Set=300W-LP2015.11 | 7.99 | 4.6 | 6.7 | 12.67 | 4.19 | |
| ESRTraining dataset=300W-LP2017.03 | 7.99 | 4.6 | 6.7 | 12.67 | — | |
| ESRTraining Set=300W-LP2018.08 | 7.99 | 4.6 | 6.7 | 12.67 | — | |
| ESR2020.09 | 7.99 | 4.6 | 6.7 | 12.67 | — | |
| RMFAprovided model=true2018.04 | 9.11 | 4.96 | 8.44 | 13.92 | 4.52 | |
| SDMTraining Set=300W2018.04 | 9.37 | 3.56 | 7.08 | 17.48 | 7.23 | |
| SDMTraining Set=300W2015.11 | 9.37 | 3.56 | 7.08 | 17.48 | 7.23 | |
| SDMTraining dataset=300W2017.03 | 9.37 | 3.56 | 7.08 | 17.48 | — | |
| SDMTraining Set=300W2018.08 | 9.37 | 3.56 | 7.08 | 17.48 | — | |
| LBFTraining Set=300W-LP2018.04 | 10.19 | 8.15 | 9.49 | 12.91 | 2.45 | |
| ESRTraining Set=300W2018.04 | 11.72 | 4.38 | 10.47 | 20.31 | 8.04 | |
| ESRTraining Set=300W2015.11 | 11.72 | 4.38 | 10.47 | 20.31 | 8.04 | |
| ESRTraining dataset=300W2017.03 | 11.72 | 4.38 | 10.47 | 20.31 | — | |
| ESRTraining Set=300W2018.08 | 11.72 | 4.38 | 10.47 | 20.31 | — | |
| RCPRTraining Set=300W2018.04 | 12.21 | 4.16 | 9.88 | 22.58 | 9.43 | |
| RCPRTraining Set=300W2015.11 | 12.21 | 4.16 | 9.88 | 22.58 | 9.43 | |
| RCPRTraining dataset=300W2017.03 | 12.21 | 4.16 | 9.88 | 22.58 | — | |
| RCPRTraining Set=300W2018.08 | 12.21 | 4.16 | 9.88 | 22.58 | — | |
| CFSSTraining Set=300W2018.04 | 13.02 | 3.44 | 10.9 | 24.72 | 10.08 | |
| MDMTraining Set=300W2018.04 | 13.07 | 4.64 | 10.35 | 24.21 | 10.07 | |
| LBFTraining Set=300W2018.04 | 16.19 | 6.17 | 16.48 | 25.9 | 9.87 | |
| Yu et al.2018.03 | — | 3.62 | 6.06 | 9.56 | — |