Skip to content

Latest commit

 

History

History
41 lines (23 loc) · 1010 Bytes

README.md

File metadata and controls

41 lines (23 loc) · 1010 Bytes

Unsupervised Non-rigid Point Cloud Registration Based on Point-wise Displacement Learning

Description

This repository contains the code for our paper: Unsupervised Non-rigid Point Cloud Registration Based on Point-wise Displacement Learning



Prerequisities

Our models is trained and tested under:

  • NVIDIAGPU+CUDA CuDNN

  • PyTorch (torch==1.8.0)

  • Python 3.6.9

  • tqdm

  • numpy

Environment setup

pip install torch==1.8.0+cu101 torchvision==0.9.0+cu101 torchaudio==0.8.0 -f 

Dataset

The required dataset is in the ./data folder.

Acknowledgment

Our implementation is mainly based on the following codebases. We gratefully thank the authors for their wonderful works.

transformer

pointnet