Point Cloud Registration on FPv1

Metric: RTE (cm) (higher is better)

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#	Model↕	RTE (cm)▼	Extra Data	Paper	Date↕	Code
1	DIP	2.052	No	Distinctive 3D local deep descriptors	2020-09-01	Code
2	FPFH-8M	1.9	No	-	-	Code
3	FCGF + YOHO-O	1.852	No	You Only Hypothesize Once: Point Cloud Registrat...	2021-09-01	Code
4	FCGF + PointDSC	1.793	No	PointDSC: Robust Point Cloud Registration using ...	2021-03-09	Code
5	SpinNet	1.67	No	SpinNet: Learning a General Surface Descriptor f...	2020-11-24	Code
6	FCGF + YOHO-C	1.668	No	You Only Hypothesize Once: Point Cloud Registrat...	2021-09-01	Code
7	GeoTransformer	1.581	No	Geometric Transformer for Fast and Robust Point ...	2022-02-14	Code
8	Greedy Grid Search	0.009	No	Challenging the Universal Representation of Deep...	2022-11-29	Code

#1DIPSOTA
2.052
RTE (cm)· 2020-09-01
Distinctive 3D local deep descriptors Code
#2FPFH-8M
1.9
RTE (cm)
No paperCode
#3FCGF + YOHO-O
1.852
RTE (cm)· 2021-09-01
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors Code
#4FCGF + PointDSC
1.793
RTE (cm)· 2021-03-09
PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency Code
#5SpinNet
1.67
RTE (cm)· 2020-11-24
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration Code
#6FCGF + YOHO-C
1.668
RTE (cm)· 2021-09-01
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors Code
#7GeoTransformer
1.581
RTE (cm)· 2022-02-14
Geometric Transformer for Fast and Robust Point Cloud Registration Code
#8Greedy Grid Search
0.009
RTE (cm)· 2022-11-29
Challenging the Universal Representation of Deep Models for 3D Point Cloud Registration Code