FAUST

Inter-subject Algorithms
Algorithm	Average Error
BPS ^[1]	4.529
SP_inter_challenge ^[2]	3.126
myaugreo ^[3]	12.849
Convex-Opt ^[4]	8.304
FMNet ^[5]	4.826
FARM ^[6]	4.123
unsupervised 3D-CODED : 3D Correspondences by Deep Deformation ^[7]	4.883
3D-CODED : 3D Correspondences by Deep Deformation ^[8]	2.878
Learning elementary structures for 3D shape generation and matching ^[9]	2.578
DHNN_ours2 ^[10]	2.222
DHNN_ours1 ^[11]	2.266
DHNN_ours_e1 ^[12]	2.521
DHNN_ours_e2 ^[13]	1.992
Deep Virtual Marker (multi-view) ^[14]	2.372
Deep Virtual Marker (one-shot) ^[15]	2.495
LBS-AE (Unsupervised) ^[16]	4.079
MGAN-Inter ^[17]	4.079
try_inter ^[18]	33.439
Unsupervised Cyclic mapper inter ^[19]	4.068
Smooth Shells ^[20]	3.929
JOMS-inter-female ^[21]	3.234
JOMS-inter-unisex ^[22]	3.525
JOMS-inter-male ^[23]	3.519
JOMS-inter-combined ^[24]	3.422
LSA-Conv: Learning localneighboring structure for robust 3d shape representation ^[25]	2.501
PAI_GCN ^[26]	12.112
UD^2E-Net-Inter ^[27]	3.086
LoopReg ^[28]	2.660
Inter Test Fr ^[29]	2.974
Inter Test FT2 LR Fr ^[30]	3.033
Adversarial GP network ^[31]	2.759
Test-3D ^[32]	2.673
mp_inter_final ^[33]	14.470
h_inter_initial ^[34]	25.024
led_inter ^[35]	2.824
PGMNet_Inter ^[36]	2.238
Anonymous ^[37]	6.780
without___inter ^[38]	2.476
7564_inter ^[39]	2.261

References

1. Sergey Prokudin. Efficient Learning on Point Clouds with Basis Point Sets. link
2. Silvia Zuffi. S. Zuffi, M. J. Black, "The Stitched Puppet: A Graphical Model of 3D Human Shape and Pose", CVPR, Boston, MA, June 2015..
3. Anonymous submission
4. Qifeng Chen, Vladlen Koltun. Robust Nonrigid Registration by Convex Optimization. Qifeng Chen, Vladlen Koltun. International Conference on Computer Vision (ICCV), 2015 .
5. Litany et al.. "Deep functional maps: Structured prediction for dense shape correspondence". Litany, Remez, Rodola, Bronstein, Bronstein. Proc. ICCV 2017.
6. Marin et al.. "FARM: Functional Automatic Registration Method for 3D Human Bodies". Marin, Melzi, Rodola, Castellani. arXiv:1807.10517, 2018..
7. groueix. 3D-CODED : 3D Correspondences by Deep Deformation, Groueix, Thibault and Fisher, Matthew and Kim, Vladimir G. and Russell, Bryan and Aubry, Mathieu, ECCV 2018.. link
8. groueix. 3D-CODED : 3D Correspondences by Deep Deformation, Groueix, Thibault and Fisher, Matthew and Kim, Vladimir G. and Russell, Bryan and Aubry, Mathieu, ECCV 2018.. link
9. Deprelle. 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 . link
10. Boyi Jiang. Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network. IEEE TVCG 2020.
11. Boyi Jiang. Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network. IEEE TVCG 2020.
12. Boyi Jiang. Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network. IEEE TVCG 2020.
13. Boyi Jiang. Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network. IEEE TVCG 2020.
14. Hyomin Kim. Deep Virtual Markers for Articulated 3D Shapes. ICCV 2021. link
15. Hyomin Kim. Deep Virtual Markers for Articulated 3D Shapes. ICCV 2021. link
16. Self-Supervised Fitting of Articulated Meshes to Point Clouds, CVPR 2019. LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds, CVPR 2019. link
17. Anonymous submission
18. Anonymous submission
19. Dvir. Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes. link
20. Eisenberger, Lähner, Cremers. Smooth Shells: Multi-Scale Shape Registration with Functional Maps, M Eisenberger, Z Lähner, D Cremers, CVPR, 2020.
21. Anonymous submission
22. Anonymous submission
23. Anonymous submission
24. Anonymous submission
25. Zhongpai Gao. 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.. link
26. Zhongpai Gao. TBD.
27. Ronghan Chen. Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence, ICCV2021. link
28. Bharat Lal Bhatnagar. LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration, NeurIPS 2020 (oral). link
29. Fred Lu. .
30. Anonymous submission
31. Boyao. Reconstructing human body mesh from point clouds by adversarial GP network, ACCV2020.
32. Anonymous submission
33. Anonymous submission
34. Anonymous submission
35. Anonymous submission
36. Anonymous submission
37. Anonymous submission
38. Anonymous submission
39. Anonymous submission

Intra-subject Algorithms
Algorithm	Average Error
BPS ^[1]	2.327
SP_intra_challenge ^[2]	1.568
Convex-Opt ^[3]	4.860
FMNet ^[4]	2.436
FARM ^[5]	2.810
CHARM ^[6]	15.157
unsupervised 3D-CODED : 3D Correspondences by Deep Deformation ^[7]	2.789
3D-CODED : 3D Correspondences by Deep Deformation ^[8]	1.985
Learning elementary structures for 3D shape generation and matching ^[9]	1.626
Unsupervised Learning of Dense Shape Correspondence ^[10]	2.510
Unsupervised Learning of Dense Shape Correspondence ^[11]	2.818
DHNN_ours2 ^[12]	1.369
DHNN_ours1 ^[13]	1.395
DHNN_ours_e1 ^[14]	1.170
DHNN_ours_e2 ^[15]	1.011
Deep Virtual Marker (multi-view) ^[16]	1.185
Deep Virtual Marker (one-shot) ^[17]	1.417
LBS-AE (Unsupervised) ^[18]	2.161
Unsupervised Cyclic mapper intra ^[19]	2.120
george intra ^[20]	6.737
2icp ^[21]	6.724
test-2icp-2refine ^[22]	12.746
combine-test ^[23]	10.158
Reproduce FMNet ^[24]	10.885
reproduce UFMNet ^[25]	5.153
fixed mesh ^[26]	4.531
reproduce UFMNet 1 ^[27]	12.079
reproduce UFMNet 2 ^[28]	12.053
JOMS-intra-female ^[29]	2.353
JOMS-intra-unisex ^[30]	2.304
JOMS-intra-male ^[31]	2.387
JOMS-intra-combined ^[32]	2.301
UD^2E-Net ^[33]	1.512
Faust7+GLASS(3573) ^[34]	11.780
Faust3+GLASS(2858) ^[35]	13.180
SMPL650+GLASS (84k) ^[36]	6.856
SMPL650+GLASS (192k) ^[37]	6.922
Faust-3 ^[38]	26.903
Faust-7 ^[39]	22.100
SMPL650 ^[40]	14.595
LoopReg ^[41]	1.346
Intra Test Fr ^[42]	2.256
Intra Test FT2 LR Fr ^[43]	2.251
Adversarial GP Network ^[44]	1.904
Test-3D ^[45]	1.759
led_intra ^[46]	1.930
PGMNet ^[47]	0.997
synorim (pairwise) ^[48]	1.486
without___intra ^[49]	1.107
7564_intra ^[50]	1.056
Diffusion 3D Features (Diff3F) ^[51]	5.291

References

1. Sergey Prokudin. Efficient Learning on Point Clouds with Basis Point Sets. link
2. Silvia Zuffi . S. Zuffi, M. J. Black, "The Stitched Puppet: A Graphical Model of 3D Human Shape and Pose", CVPR, Boston, MA, June 2015..
3. Qifeng Chen, Vladlen Koltun. Robust Nonrigid Registration by Convex Optimization. Qifeng Chen, Vladlen Koltun. International Conference on Computer Vision (ICCV), 2015 .
4. Litany et al.. "Deep functional maps: Structured prediction for dense shape correspondence". Litany, Remez, Rodola, Bronstein, Bronstein. Proc. ICCV 2017.
5. Marin et al.. "FARM: Functional Automatic Registration Method for 3D Human Bodies". Marin, Melzi, Rodola, Castellani. arXiv:1807.10517, 2018..
6. Jingfan. .
7. groueix. 3D-CODED : 3D Correspondences by Deep Deformation, Groueix, Thibault and Fisher, Matthew and Kim, Vladimir G. and Russell, Bryan and Aubry, Mathieu, ECCV 2018.. link
8. groueix. 3D-CODED : 3D Correspondences by Deep Deformation, Groueix, Thibault and Fisher, Matthew and Kim, Vladimir G. and Russell, Bryan and Aubry, Mathieu, ECCV 2018.. link
9. Deprelle. 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 . link
10. Oshri Halimi, Or Litany, Emanuele Rodola, Alex M. Bronstein, Ron Kimmel; (CVPR 2019). Unsupervised Learning of Dense Shape Correspondence, Oshri Halimi, Or Litany, Emanuele Rodola, Alex M. Bronstein, Ron Kimmel; (CVPR 2019). link
11. Oshri Halimi, Or Litany, Emanuele Rodola, Alex M. Bronstein, Ron Kimmel;. Unsupervised Learning of Dense Shape Correspondence, Oshri Halimi, Or Litany, Emanuele Rodola, Alex M. Bronstein, Ron Kimmel; (CVPR 2019). link
12. Boyi Jiang. Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network. IEEE TVCG 2020.
13. Boyi Jiang. Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network. IEEE TVCG 2020.
14. Boyi Jiang. Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network. IEEE TVCG 2020.
15. Boyi Jiang. Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network. IEEE TVCG 2020.
16. Hyomin Kim. Deep Virtual Markers for Articulated 3D Shapes. ICCV 2021. link
17. Hyomin Kim. Deep Virtual Markers for Articulated 3D Shapes. ICCV 2021. link
18. Self-supervised Fitting of Articulated Meshes to Point Clouds, CVPR 2019. LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds, CVPR 2019. link
19. Dvir. Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes. link
20. george. .
21. George. .
22. George. .
23. George. .
24. George. .
25. George. .
26. George. .
27. George. .
28. George. .
29. Anonymous submission
30. Anonymous submission
31. Anonymous submission
32. Anonymous submission
33. Ronghan Chen. Unsupervised Dense Deformation Embedding Network for Template-free Shape Correspondence, ICCV2021. link
34. Anonymous submission
35. Anonymous submission
36. Anonymous submission
37. Anonymous submission
38. Anonymous submission
39. Anonymous submission
40. Anonymous submission
41. Bharat Lal Bhatnagar. LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration, NeurIPS 2020 (oral). link
42. Anonymous submission
43. Anonymous submission
44. Boyao. Reconstructing human body mesh from point clouds by adversarial GP network, ACCV2020.
45. Anonymous submission
46. Anonymous submission
47. Anonymous submission
48. Anonymous submission
49. Anonymous submission
50. Anonymous submission
51. Niladri Shekhar Dutt, Sanjeev Muralikrishnan, Niloy J. Mitra. Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features. Conference on Computer Vision and Pattern Recognition (CVPR), 2024 link

Leaderboards

References

References