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Face Alignment On Aflw2000 3D

Metrics

Balanced NME (2D Sparse Alignment)
Mean NME(3D Dense Alignment)

Results

Performance results of various models on this benchmark

Model Name
Balanced NME (2D Sparse Alignment)
Mean NME(3D Dense Alignment)
Paper TitleRepository
3DDFA3.79%6.55%Face Alignment in Full Pose Range: A 3D Total Solution-
JVCR3.31%-Adversarial Learning Semantic Volume for 2D/3D Face Shape Regression in the Wild
OpNet3.55%-On the power of data augmentation for head pose estimation-
SynergyNet-Reannotated2.65%-Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry-
PRN3.62%4.40%Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network-
SADRNet3.46%4.02%SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction-
2DASL3.53%-3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild-
3DDFA + SDM4.94%-Face Alignment Across Large Poses: A 3D Solution-
MNN+OR (reannotated)2.58%-Multi-task head pose estimation in-the-wild-
DSFNet-f-3.8%DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment-
3DSTN4.49%-Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses-
SynergyNet3.41%4.06%Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry-
DeFA4.50%6.04%Dense Face Alignment-
3DDFA_V23.51%4.18%Towards Fast, Accurate and Stable 3D Dense Face Alignment-
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Face Alignment On Aflw2000 3D | SOTA | HyperAI