Leaderboards

The results displayed here are for the methods for which:
Inter-subject Algorithms
AlgorithmAverage 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
Neural Scalable Registration (NSR) [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. Riccardo Marin, Enric Corona, Gerard Pons-Moll. NICP: Neural ICP for 3D Human Registration at Scale. ECCV, 2024 link

Intra-subject Algorithms
AlgorithmAverage 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
Neural Scalable Registration (NSR) [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. Riccardo Marin, Enric Corona, Gerard Pons-Moll. NICP: Neural ICP for 3D Human Registration at Scale. ECCV, 2024 link

  • 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