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

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I want to perform point cloud registration on my own task, how can I only do my own data set, please advise, thank you very much!

Hi Authors, Thanks for your great work! During training, I want to utilize other geometric features (e.g. normal) except the coordinates (x, y, z). This is, the input shape will...

Hi @Lilac-Lee, When I try running test,py on my computer, it gives me the RuntimeError: CUDA out of memory. This, however, does not happen for train.py. Why does the code...

Hi, First of all, thank you for your great paper and codes, and also the trained model you provided. I trained the model on ModelNet40 using the **default settings** in...

Hello @Lilac-Lee , I'm running the test.py on threedmatch dataset with all your default settings in the code, but got the following error, can you please help me with this?...

voxel_features_p0_ in function `compute_loss` maybe typo with a extra underscore at the end. Now it's substituted with voxel_features_p0. Another three variables in function `comput_loss` have the same problem too.

function `_points_to_voxel_reverse_kernel` is not defined before use in function `points_to_voxel_second`, now it has been copied from https://github.com/nutonomy/second.pytorch/blob/master/second/core/point_cloud/point_cloud_ops.py

When trying to run the train.py on my custom dataset, I am getting the following error:- "RuntimeError: stack expects each tensor to be equal size, but got [4, 1000, 3]...

Hi, first of all, thanks a lot for sharing your code! I have some questions about the training process: 1) Do you also use 10 iterations of the IC-LK algorithm...

Dear creator, thank you for your efforts and sharing! I noticed that in the code related to obtaining data in the testing section, the 3dmatch dataset needs to be in...