MAT-NET

This repository contains the implementation of MAT-NET introduced in our IJCAI 2019 paper. MAT-Net: Medial Axis Transform Network for 3D Object Recognition.

If you use our code or models, please cite our paper.

    @inproceedings{ijcai2019-109,
    title     = {MAT-Net: Medial Axis Transform Network for 3D Object Recognition},
    author    = {Hu, Jianwei and Wang, Bin and Qian, Lihui and Pan, Yiling and Guo, Xiaohu and Liu, Lingjie and Wang, Wenping},
    booktitle = {Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI-19}},
    publisher = {International Joint Conferences on Artificial Intelligence Organization},  
    pages     = {774--781},
    year      = {2019},
    month     = {7}
    }

Dataset

We repaired 83% of all 3D models in ModelNet40 and constructed a MAT data set, named ModelNet40-MAT. You can download the dataset files in https://drive.google.com/drive/folders/1ksUtVI2g_aKBceDdHDnlIOaldokwJUNh?usp=sharing

Pre-trained Model

https://drive.google.com/drive/folders/1i0pewaebKGSmd6sIQWa6D4mi151I84HP?usp=sharing

Enviroment

python 2.7 CUDA 8.0 tensorflow 1.4

Training

python train.py

Evaluation

python evaluate.py