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Cycle4Completion

This repository contains the source code for the paper Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding. <img src="c4c.png" width="100%" alt="Intro pic" />

Cite this work

@inproceedings{wen2021c4c,
  title={Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding},
  author={Wen, Xin and Han, Zhizhong and Cao, Yan-Pei and Wan, Pengfei and Zheng, Wen and Liu, Yu-Shen},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2021}
}

Datasets

Preprocessed 3D-EPN dataset can be downloaded from: https://drive.google.com/file/d/1TxM8ZhaKEZWWSnakU2KGBLAO0pRnKDKo/view?usp=sharing

Requirements

Python 2.7 Tensorflow 1.14.0 For detailed implementation, please follow PointNet++ on this page： https://github.com/charlesq34/pointnet2

Getting Started

  1. Unzip the downloaded dataset file "dataset.rar" to the "dataset" folder.

  2. To train Cycle4Completion, you can simply use the following command:

python main.py

License

This project is open sourced under MIT license.