3D Face Reconstruction On Stirling Hq Fg2018

Mean Reconstruction Error (mm)

Results

Performance results of various models on this benchmark

		Paper Title
PRNet	2.06	Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
RingNet	2.02	Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
3DDFA_V2	1.91	Towards Fast, Accurate and Stable 3D Dense Face Alignment
DECA	1.89	Learning an Animatable Detailed 3D Face Model from In-The-Wild Images

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