Awesome

ACL-SPC_PyTorch

This repository contains the official code to reproduce the results from the paper:

ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion

[arXiv] [presentation]

Installation

Clone this repository into any place you want.

git clone https://github.com/Sangminhong/ACL-SPC_PyTorch.git
cd ACL-SPC_PyTorch

Dependencies

• Python 3.8.5
• PyTorch 1.7.1
• numpy
• h5py
• numba
• scikit-learn
• open3d
• torchsummary
• pytorch3d

Quick Start

Coming soon.

Expriments

Pretrained model

Download config.json and model_best.pth from this link and save them in `` folder.

NOTE: The pretrained model is updated at March. 1st 2023.

You can now go to src folder and test our ACL-SPC by:

python test.py 

or you can train it by yourself as follows:

python train.py 

Citation

If you find our code or paper useful, please consider citing:

@inproceedings{Hong2023ACLSPC,
  title={ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion},
  author={Sangmin Hong and Mohsen Yavartanoo and Reyhaneh Neshatavar and Kyoung Mu Lee},
  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2023}
}