3D Face Modelling on NoW Benchmark

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

LeaderboardDataset

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#	Model↕	Mean Reconstruction Error (mm)▲	Extra Data	Paper	Date↕	Code
1	DenseLandmarks (Multi-view)	1.01	No	3D face reconstruction with dense landmarks	2022-04-06	-
2	MICA	1.11	No	Towards Metrical Reconstruction of Human Faces	2022-04-13	Code
3	DenseLandmarks (Single-view)	1.28	No	3D face reconstruction with dense landmarks	2022-04-06	-
4	FOCUS	1.3	No	Robust Model-based Face Reconstruction through W...	2021-06-17	Code
5	DECA	1.38	No	Learning an Animatable Detailed 3D Face Model fr...	2020-12-07	Code
6	Deep3DFaceRecon PyTorch	1.41	No	Accurate 3D Face Reconstruction with Weakly-Supe...	2019-03-20	Code
7	PIXIE	1.49	No	Collaborative Regression of Expressive Bodies us...	2021-05-11	Code
8	RingNet	1.53	No	Learning to Regress 3D Face Shape and Expression...	2019-05-16	Code
9	FLAME template	1.53	No	-	-	Code
10	Deng et al. 2019	1.54	No	Accurate 3D Face Reconstruction with Weakly-Supe...	2019-03-20	Code
11	3DDFA_V2	1.57	No	Towards Fast, Accurate and Stable 3D Dense Face ...	2020-09-21	Code
12	Dib et al. 2021	1.57	No	Towards High Fidelity Monocular Face Reconstruct...	2021-03-29	-
13	SynergyNet	1.59	No	Synergy between 3DMM and 3D Landmarks for Accura...	2021-10-19	Code
14	MGCNet	1.87	No	Self-Supervised Monocular 3D Face Reconstruction...	2020-07-24	Code
15	UMDFA	1.89	No	-	-	Code
16	PRNet	1.98	No	Joint 3D Face Reconstruction and Dense Alignment...	2018-03-21	Code
17	3DMM-CNN	2.33	No	Regressing Robust and Discriminative 3D Morphabl...	2016-12-15	Code