zju3dv / Vox-Surf

Code for "Vox-Surf: Voxel-based Implicit Surface Representation", TVCG 2022

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Vox-Surf

Code for "Vox-Surf: Voxel-based Implicit Surface Representation", TVCG 2022

Installation

It is recommended to install Pytorch (>=1.10) manually for your hardware platform first. You can then install all dependancies using pip or conda:

pip install -r requirements.txt

After you have installed all third party libraries, build extra Pytorch module as follows.

python setup.py install

Run

Please follow NeuS for preparing training data and follow run.sh for training and evaluation.

Citation

@article{li2022vox,
  title={Vox-Surf: Voxel-based implicit surface representation},
  author={Li, Hai and Yang, Xingrui and Zhai, Hongjia and Liu, Yuqian and Bao, Hujun and Zhang, Guofeng},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2022}
}

Acknowledgement

Some code snippets are borrowed from UNISURF, NeuS and NSVF. Thanks for these great projects.

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Code for "Vox-Surf: Voxel-based Implicit Surface Representation", TVCG 2022


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Language:Python 51.3%Language:C++ 25.8%Language:Cuda 7.9%Language:C 6.9%Language:Cython 5.1%Language:Shell 3.0%