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3D Face Reconstruction on NoW face challenge (test)

0.9Median Error (mm)MICA
0.83041.30021.772.2398May 16, 2019Feb 11, 2020Nov 8, 2020Aug 7, 2021May 5, 2022Jan 31, 2023Oct 30, 2023

Evaluation results

MethodLinks
MICA2021.060.91.110.92
MICA2023.040.91.110.92
AlbedoGAN2023.040.971.211.02
Wood et al.2021.061.021.281.08
FOCUS-MPmisfit prior=true2021.061.021.281.09
FOCUS2021.061.041.31.1
L_baseEvaluation Mode=Inference-based2023.101.06621.34321.1405
L_full (Ours)Evaluation Mode=Optimization2023.101.08181.36931.1724
L_compact (Ours)Evaluation Mode=Optimization2023.101.08251.371.1724
L_baseEvaluation Mode=Optimization2023.101.08651.3761.178
PSL - L_compact (Ours)Evaluation Mode=Inference-based2023.101.0891.3681.1477
DECAPrior Type=FLAME2022.121.091.381.18
DECA2021.061.091.381.18
DECA2023.041.091.381.18
PSL - L_full (Ours)Evaluation Mode=Inference-based2023.101.09021.36611.1453
Initialization (DECA)Evaluation Mode=Optimization2023.101.09361.38151.1829
EMOCAEvaluation Mode=Inference-based2023.101.09361.38151.1829
SPECTREEvaluation Mode=Inference-based2023.101.09361.38151.1829
DECAEvaluation Mode=Inference-based2023.101.09361.38151.1829
Deep3D2023.041.111.411.21
RingNetPrior Type=FLAME2022.121.211.541.31
RingNet2021.061.211.531.31
RingNet2019.051.231.551.32
3DDFA-V2Prior Type=3DMM2022.121.231.571.39
Deep3D2021.061.231.541.29
3DDFA V22021.061.231.571.39
FLAME-neutral2019.051.241.571.34
Dib et al.2021.061.261.571.31
SynergyNet2021.061.271.591.31
MGCNet2021.061.311.872.63
PRNetPrior Type=3DMM2022.121.51.981.88
PRNet2021.061.51.981.88
PRNet2019.051.511.991.9
E3DGEPrior Type=3D GAN2022.121.72.081.67
3DMM-CNN2019.051.832.332.05
3DMM-CNNPrior Type=3DMM2022.121.842.332.05
3DMM-CNN2021.061.842.332.05
Wu et al.Prior Type=Model Free2022.122.643.292.86