Point Cloud Registration on ModelNet40 (Unseen Categories, Gaussian Noise, RPMNet OS) benchmark leaderboard · SOTA2 Research

Point Cloud Registration on ModelNet40 (Unseen Categories, Gaussian Noise, RPMNet OS)

1.009RMSE (Rotation)OMNet

Evaluation Results

Method	Links
OMNet2021.03		1.009	0.548	0.0089	0.0061	1.076	0.0123
PRNet2021.03		1.911	1.213	0.018	0.0123	2.284	0.0245
FMR2021.03		2.898	1.747	0.0246	0.0133	3.398	0.026
OMNet2021.03		3.572	1.57	0.0391	0.0172	3.073	0.0359
RPMNet2021.03		4.118	1.589	0.0467	0.0175	2.983	0.0378
DCP2021.03		4.862	3.433	0.0486	0.034	6.653	0.069
Symmetric ICP2021.03		5.208	4.703	0.0518	0.0462	9.174	0.0897
IDAM2021.03		5.551	2.99	0.0486	0.0241	5.741	0.048
FMR2021.03		10.604	6.725	0.13	0.0827	12.627	0.1788
Symmetric ICP2021.03		12.183	10.723	0.1487	0.121	21.169	0.2576
DCP2021.03		13.117	9.741	0.0779	0.0591	11.35	0.1187
Go-ICP2021.03		13.612	3.655	0.0489	0.0174	7.257	0.0348
DeepGMR2021.03		17.693	8.578	0.0849	0.0531	16.504	0.1048
ICP2021.03		19.945	8.546	0.0898	0.0482	16.599	0.0949
PointNetLK2021.03		20.131	11.864	0.0972	0.0516	18.552	0.1032
ICP2021.03		20.566	12.786	0.1917	0.1265	25.417	0.2667
FGR2021.03		22.347	10.309	0.107	0.0537	19.934	0.1068
PointNetLK2021.03		26.476	19.258	0.2542	0.1853	37.688	0.3831
FGR2021.03		49.133	31.347	0.3002	0.2068	56.652	0.423
Go-ICP2021.03		70.417	40.303	0.3072	0.1822	69.175	0.3962
DeepGMR2021.03		75.257	53.47	0.3509	0.2519	84.121	0.518