Lilac-Lee PointNetLK_Revisited issues - Githubissues

Lilac-Lee / PointNetLK_Revisited

Implementation for our CVPR 2021 oral paper "PointNetLK Revisited".

MIT License

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May I ask if you can provide the code for handling the loading of the 3DMatch dataset section？

#15 Alskrey opened 6 days ago
0
How do I make my own data set for training?

#14 1404561326521 opened 6 months ago
1
Extension of input dim

#13 StrivedTye opened 8 months ago
1
Running test.py needs more GPU memory than train.py

#12 rajat-talak opened 1 year ago
4
Question about reproducing the results in Table 1

#11 MickShen7558 opened 1 year ago
0
Huge memory consumption for inference

#10 gitouni closed 2 years ago
13
issure in ThreeDMatch_Testing dataset

#9 gitouni closed 2 years ago
2
nan will appear in loss

#8 gitouni closed 2 years ago
1
fix some typo in function compute_loss

#7 gitouni opened 2 years ago
0
add function _points_to_voxel_reverse_kernel

#6 gitouni opened 2 years ago
0
Does testing phase use a known posture to find voxel overlaps?

#5 tatsy closed 2 years ago
2
gpu issue

#4 Atlas-Li opened 2 years ago
1
Voxel_zero_mean do produce "merely solve rotation, translation is solved during datapreprocess" problem

#3 Jarrome closed 2 years ago
15
Runtime error in data loader due to variable size of tensors

#2 praj441 opened 2 years ago
7
Questions about training

#1 akloss opened 2 years ago
1