MPI FAUST Dataset

Results and Rankings

Results for methods appear here after users upload them and approve them for public display.


Inter-subject challenge
Average error
SP_inter_challenge [1] 3.126 Visualize Results
Convex-Opt [2] 8.304 Visualize Results
FMNet [3] 4.826 Visualize Results
FARM [4] 4.123 Visualize Results
3D-CODED : 3D Correspondences by Deep Deformation [5] 2.878 Visualize Results
unsupervised 3D-CODED : 3D Correspondences by Deep Deformation [6] 4.883 Visualize Results
LBS-AE (Unsupervised) [7] 4.079 Visualize Results
BPS [8] 4.529 Visualize Results
References
[1]
SP_inter_challenge
S. Zuffi, M. J. Black, "The Stitched Puppet: A Graphical Model of 3D Human Shape and Pose", CVPR, Boston, MA, June 2015.
[2]
Convex-Opt
Robust Nonrigid Registration by Convex Optimization. Qifeng Chen, Vladlen Koltun. International Conference on Computer Vision (ICCV), 2015
[3]
FMNet
"Deep functional maps: Structured prediction for dense shape correspondence". Litany, Remez, Rodola, Bronstein, Bronstein. Proc. ICCV 2017
[4]
FARM
"FARM: Functional Automatic Registration Method for 3D Human Bodies". Marin, Melzi, Rodola, Castellani. arXiv:1807.10517, 2018.
[5]
3D-CODED : 3D Correspondences by Deep Deformation
3D-CODED : 3D Correspondences by Deep Deformation, Groueix, Thibault and Fisher, Matthew and Kim, Vladimir G. and Russell, Bryan and Aubry, Mathieu, ECCV 2018.
[6]
unsupervised 3D-CODED : 3D Correspondences by Deep Deformation
3D-CODED : 3D Correspondences by Deep Deformation, Groueix, Thibault and Fisher, Matthew and Kim, Vladimir G. and Russell, Bryan and Aubry, Mathieu, ECCV 2018.
[7]
LBS-AE (Unsupervised)
LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds, CVPR 2019
[8]
BPS
Anonymous.