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Computer Vision
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3D Point Cloud Interpolation
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KITTI (trained on 3DMatch)
3D Point Cloud Interpolation on KITTI (trained on 3DMatch)
Metric: Success Rate (higher is better)
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#
Model
↕
Success Rate
▼
Extra Data
Paper
Date
↕
Code
1
GeDi
98.92
No
Learning general and distinctive 3D local deep d...
2021-05-21
Code
2
FCGF+SC2-PCR
97.66
No
-
-
-
3
FCGF+PointDSC
96.76
No
PointDSC: Robust Point Cloud Registration using ...
2021-03-09
Code
4
Exhaustive Grid Search
94.95
No
-
-
Code
5
FPFH+PointDSC
94.05
No
PointDSC: Robust Point Cloud Registration using ...
2021-03-09
Code
6
DIP
93.51
No
Distinctive 3D local deep descriptors
2020-09-01
Code
7
Greedy Grid Search
90.27
No
Challenging the Universal Representation of Deep...
2022-11-29
Code
8
YOHO-C
82.16
No
You Only Hypothesize Once: Point Cloud Registrat...
2021-09-01
Code
9
SpinNet
81.44
No
SpinNet: Learning a General Surface Descriptor f...
2020-11-24
Code
10
YOHO-O
81.44
No
You Only Hypothesize Once: Point Cloud Registrat...
2021-09-01
Code
11
GeoTransformer
67.93
No
GeoTransformer: Fast and Robust Point Cloud Regi...
2023-07-25
Code
12
Predator
41.2
No
PREDATOR: Registration of 3D Point Clouds with L...
2020-11-25
Code
13
D3Feat-pred
36.76
No
D3Feat: Joint Learning of Dense Detection and De...
2020-03-06
Code
14
FCGF
24.19
No
-
-
Code