Topology-constrained Shape Correspondence

Introduction

This is the source code for our paper Topology-constrained Shape Correspondence

Network Architecture

The architecture of our proposed model is as follows

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Illustration of shape morphing.

Installation

• Our code is tested on Tensorflow>1.4 and CUDA 8.0

• Clone this repo

git clone https://github.com/lixiang-ucas/PCNet.git

Dataset

• Download the dataset from http://faust.is.tue.mpg.de/

run notebook file [Data]Faust-FeastNet.ipynb to prepare the tfrecords

Training & Test

run the notebook: training_faust.ipynb

Citation

If you find this useful in your research, please consider citing:

@article{li2020topology,
  title={Topology-Constrained Shape Correspondence},
  author={Li, Xiang and Wen, Congcong and Wang, Lingjing and Fang, Yi},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2020},
  publisher={IEEE}
}