Facial Recognition and Modelling on NoW Benchmark

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

LeaderboardDataset

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Results

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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

#1DenseLandmarks (Multi-view)SOTA
1.01
Mean Reconstruction Error (mm)· 2022-04-06
3D face reconstruction with dense landmarks
#2MICA
1.11
Mean Reconstruction Error (mm)· 2022-04-13
Towards Metrical Reconstruction of Human Faces Code
#3DenseLandmarks (Single-view)SOTA
1.28
Mean Reconstruction Error (mm)· 2022-04-06
3D face reconstruction with dense landmarks
#4FOCUSSOTA
1.3
Mean Reconstruction Error (mm)· 2021-06-17
Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation Code
#5DECASOTA
1.38
Mean Reconstruction Error (mm)· 2020-12-07
Learning an Animatable Detailed 3D Face Model from In-The-Wild Images Code
#6Deep3DFaceRecon PyTorchSOTA
1.41
Mean Reconstruction Error (mm)· 2019-03-20
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set Code
#7PIXIE
1.49
Mean Reconstruction Error (mm)· 2021-05-11
Collaborative Regression of Expressive Bodies using Moderation Code
#8RingNet
1.53
Mean Reconstruction Error (mm)· 2019-05-16
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision Code
#9FLAME template
1.53
Mean Reconstruction Error (mm)
No paperCode
#10Deng et al. 2019SOTA
1.54
Mean Reconstruction Error (mm)· 2019-03-20
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set Code
#113DDFA_V2
1.57
Mean Reconstruction Error (mm)· 2020-09-21
Towards Fast, Accurate and Stable 3D Dense Face Alignment Code
#12Dib et al. 2021
1.57
Mean Reconstruction Error (mm)· 2021-03-29
Towards High Fidelity Monocular Face Reconstruction with Rich Reflectance using Self-supervised Learning and Ray Tracing
#13SynergyNet
1.59
Mean Reconstruction Error (mm)· 2021-10-19
Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry Code
#14MGCNet
1.87
Mean Reconstruction Error (mm)· 2020-07-24
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency Code
#15UMDFA
1.89
Mean Reconstruction Error (mm)
No paperCode
#16PRNetSOTA
1.98
Mean Reconstruction Error (mm)· 2018-03-21
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network Code
#173DMM-CNNSOTA
2.33
Mean Reconstruction Error (mm)· 2016-12-15
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network Code