Facial Recognition and Modelling on Stirling-LQ (FG2018 3D face reconstruction challenge)

Metric: Mean Reconstruction Error (mm) (lower is better)

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#	Model↕	Mean Reconstruction Error (mm)▲	Extra Data	Paper	Date↕	Code
1	DECA	1.91	No	Learning an Animatable Detailed 3D Face Model fr...	2020-12-07	Code
2	RingNet	2.08	No	Learning to Regress 3D Face Shape and Expression...	2019-05-16	Code
3	3DDFA_V2	2.1	No	Towards Fast, Accurate and Stable 3D Dense Face ...	2020-09-21	Code
4	PRNet	2.38	No	Joint 3D Face Reconstruction and Dense Alignment...	2018-03-21	Code

#1DECASOTA
1.91
Mean Reconstruction Error (mm)· 2020-12-07
Learning an Animatable Detailed 3D Face Model from In-The-Wild Images Code
#2RingNetSOTA
2.08
Mean Reconstruction Error (mm)· 2019-05-16
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision Code
#33DDFA_V2
2.1
Mean Reconstruction Error (mm)· 2020-09-21
Towards Fast, Accurate and Stable 3D Dense Face Alignment Code
#4PRNetSOTA
2.38
Mean Reconstruction Error (mm)· 2018-03-21
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network Code