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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

			Paper Title	Repository
3DDFA + SDM	4.94%	-	Face Alignment Across Large Poses: A 3D Solution	-
DeFA	4.50%	6.04%	Dense Face Alignment
3DSTN	4.49%	-	Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses	-
3DDFA	3.79%	6.55%	Face Alignment in Full Pose Range: A 3D Total Solution
PRN	3.62%	4.40%	Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
OpNet	3.55%	-	On the power of data augmentation for head pose estimation
2DASL	3.53%	-	3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild
3DDFA_V2	3.51%	4.18%	Towards Fast, Accurate and Stable 3D Dense Face Alignment
SADRNet	3.46%	4.02%	SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction
SynergyNet	3.41%	4.06%	Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
JVCR	3.31%	-	Adversarial Learning Semantic Volume for 2D/3D Face Shape Regression in the Wild	-
SynergyNet-Reannotated	2.65%	-	Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
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

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Face Alignment On Aflw2000 3D | SOTA | HyperAI