This is the source code for our paper Pc-net: Unsupervised point correspondence learning with neural networks
The architecture of our proposed model is as follows
Illustration of shape morphing.
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Our code is tested on Tensorflow>1.4 and CUDA 8.0
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Clone this repo
git clone https://github.com/lixiang-ucas/PCNet.git
- Download the dataset from
run the notebook: [Train]Fish_Def=0.4.ipynb
run the notebook: [Test]Fish_Def=0.4.ipynb
If you find this useful in your research, please consider citing:
@inproceedings{li2019pc,
title={Pc-net: Unsupervised point correspondence learning with neural networks},
author={Li, Xiang and Wang, Lingjing and Fang, Yi},
booktitle={2019 International Conference on 3D Vision (3DV)},
pages={145--154},
year={2019},
organization={IEEE}
}