3D Face Reconstruction on NoW face challenge (test) benchmark leaderboard · SOTA2 Research

3D Face Reconstruction on NoW face challenge (test)

0.9Median Error (mm)MICA

Evaluation Results

Method	Links
MICA2021.06		0.9	1.11	0.92
MICA2023.04		0.9	1.11	0.92
AlbedoGAN2023.04		0.97	1.21	1.02
Wood et al.2021.06		1.02	1.28	1.08
FOCUS-MP2021.06		1.02	1.28	1.09
FOCUS2021.06		1.04	1.3	1.1
L_base2023.10		1.0662	1.3432	1.1405
L_full (Ours)2023.10		1.0818	1.3693	1.1724
L_compact (Ours)2023.10		1.0825	1.37	1.1724
L_base2023.10		1.0865	1.376	1.178
PSL - L_compact (Ours)2023.10		1.089	1.368	1.1477
DECA2022.12		1.09	1.38	1.18
DECA2021.06		1.09	1.38	1.18
DECA2023.04		1.09	1.38	1.18
PSL - L_full (Ours)2023.10		1.0902	1.3661	1.1453
Initialization (DECA)2023.10		1.0936	1.3815	1.1829
EMOCA2023.10		1.0936	1.3815	1.1829
SPECTRE2023.10		1.0936	1.3815	1.1829
DECA2023.10		1.0936	1.3815	1.1829
Deep3D2023.04		1.11	1.41	1.21
RingNet2022.12		1.21	1.54	1.31
RingNet2021.06		1.21	1.53	1.31
RingNet2019.05		1.23	1.55	1.32
3DDFA-V22022.12		1.23	1.57	1.39
Deep3D2021.06		1.23	1.54	1.29
3DDFA V22021.06		1.23	1.57	1.39
FLAME-neutral2019.05		1.24	1.57	1.34
Dib et al.2021.06		1.26	1.57	1.31
SynergyNet2021.06		1.27	1.59	1.31
MGCNet2021.06		1.31	1.87	2.63
PRNet2022.12		1.5	1.98	1.88
PRNet2021.06		1.5	1.98	1.88
PRNet2019.05		1.51	1.99	1.9
E3DGE2022.12		1.7	2.08	1.67
3DMM-CNN2019.05		1.83	2.33	2.05
3DMM-CNN2022.12		1.84	2.33	2.05
3DMM-CNN2021.06		1.84	2.33	2.05
Wu et al.2022.12		2.64	3.29	2.86