Results and Rankings

	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
Smooth Shells [9]	3.929	Visualize Results
Learning elementary structures for 3D shape generation and matching [10]	2.578	Visualize Results
Unsupervised Cyclic mapper inter [11]	4.068	Visualize Results
JOMS-inter-female [12]	3.234	Visualize Results
DHNN_ours2 [13]	2.222	Visualize Results
DHNN_ours1 [14]	2.266	Visualize Results
DHNN_ours_e1 [15]	2.521	Visualize Results
DHNN_ours_e2 [16]	1.992	Visualize Results
LSA-Conv: Learning localneighboring structure for robust 3d shape representation [17]	2.501	Visualize Results
Inter Test Fr [18]	2.974	Visualize Results
Inter Test FT2 LR Fr [19]	3.033	Visualize Results
JOMS-inter-unisex [20]	3.525	Visualize Results
JOMS-inter-male [21]	3.519	Visualize Results
JOMS-inter-combined [22]	3.422	Visualize Results
try_inter [23]	33.439	Visualize Results
PAI_GCN [24]	12.112	Visualize Results

^[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

Efficient Learning on Point Clouds with Basis Point Sets

^[9]

Smooth Shells

Smooth Shells: Multi-Scale Shape Registration with Functional Maps, M Eisenberger, Z Lähner, D Cremers, CVPR, 2020

^[10]

Learning elementary structures for 3D shape generation and matching

Learning elementary structures for 3D shape generation and matching, Deprelle, Theo, Groueix, Thibault and Fisher, Matthew and Kim, Vladimir G. and Russell, Bryan and Aubry, Mathieu, ECCV 2018

^[11]

Unsupervised Cyclic mapper inter

Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes

^[12]

JOMS-inter-female

Anonymous.

^[13]

DHNN_ours2

Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network. IEEE TVCG 2020

^[14]

DHNN_ours1

Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network. IEEE TVCG 2020

^[15]

DHNN_ours_e1

Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network. IEEE TVCG 2020

^[16]

DHNN_ours_e2

Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network. IEEE TVCG 2020

^[17]

LSA-Conv: Learning localneighboring structure for robust 3d shape representation

Z. Gao, J. Yan, G. Zhai, J. Zhang, Y. Yang, and X. Yang, “Learning localneighboring structure for robust 3d shape representation,” inThirty-FifthAAAI Conference on Artificial Intelligence, 2021. TBD

^[18]

Inter Test Fr

^[19]

Inter Test FT2 LR Fr

Anonymous.

^[20]

JOMS-inter-unisex

Anonymous.

^[21]

JOMS-inter-male

Anonymous.

^[22]

JOMS-inter-combined

Anonymous.

^[23]

try_inter

Anonymous.

^[24]

PAI_GCN

TBD TBD