This repository contains the source code for the paper Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding.
@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}
}
Preprocessed 3D-EPN dataset can be downloaded from: https://drive.google.com/file/d/1TxM8ZhaKEZWWSnakU2KGBLAO0pRnKDKo/view?usp=sharing
Python 2.7 Tensorflow 1.14.0 For detailed implementation, please follow PointNet++ on this page： https://github.com/charlesq34/pointnet2
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Unzip the downloaded dataset file "dataset.rar" to the "dataset" folder.
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To train Cycle4Completion, you can simply use the following command:
python main.py
This project is open sourced under MIT license.