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24 Open 21 Closed
24 Open 21 Closed
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Issues list

onnx
#45 opened Jan 24, 2025 by wangzaichao
onnx
#44 opened Jan 23, 2025 by wangzaichao
Using model for user point clouds
#42 opened Mar 25, 2024 by IvanStrahija
2
how did you do Qualitative registration examples on (a) Clean data, (b) Noisy data, and (c, d, e) Partially visible data.
#41 opened Jan 20, 2024 by Soed-a
1
eval_results
#40 opened Jan 18, 2024 by wuchengzenb
7
Results analysis on personal dataset
#38 opened Oct 11, 2023 by blackHorz
3
Input format of point cloud
#37 opened Mar 31, 2023 by MinSheng8852
Confusion of the logic in forward pipeline.
#36 opened Mar 21, 2023 by JarvisLee0423
7
how to evaluate other point cloud ?
#35 opened Mar 13, 2023 by Huleyun
2
Normal Problem
#34 opened Mar 2, 2023 by JarvisLee0423
2
Shuffle Problem
#33 opened Feb 28, 2023 by JarvisLee0423
3
Questions about the inlier loss
#32 opened May 22, 2022 by qsisi
11
How does the defined feature contribute to regression?
#31 opened May 9, 2022 by MR-hyj
3
Some questions about the experiments
#27 opened Dec 18, 2021 by liu-zikang
6
Registration and matching?
#25 opened Oct 13, 2021 by ptran1203
2
Can it be applied to 2D point cloud registration?
#23 opened Aug 26, 2021 by millermuttu
1
DCP_v2 pretrained model required && Multi-GPU implemetations
#21 opened Jul 2, 2021 by qsisi
2
Training full data encounter svd did not converge
#16 opened May 3, 2021 by jeffhong0630
6
eval.py error "scipy.spatial.transform.rotation.Rotation' object has no attribute 'from_dcm'"
#15 opened Apr 19, 2021 by fhuerlimann
1
L_total = L_reg + λL_inlier?? a little confused about this formula
#13 opened Jan 6, 2021 by RichardTaoK
1
FileNotFoundError
#11 opened Oct 19, 2020 by roxanasoto
1
ICP and FGR
#9 opened Sep 16, 2020 by fukexue
3
Find the nearest neighbor and SVD to solve for the transformation
#8 opened Aug 19, 2020 by BiaoBiaoLi
9
The model output 'nan' when training on the 3rd dataset.
#6 opened Aug 6, 2020 by Gilgamesh666666
2
ProTip! Find all open issues with in progress development work with linked:pr.