luyangzhu / NBA-Players

ECCV2020 - Official code repository for the paper : Reconstructing NBA Players

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Reconstructing NBA Players

Overview

This repository maintains the official implementation of our ECCV 2020 paper:

Reconstructing NBA Players

By Luyang Zhu, Konstantinos Rematas, Brian Curless, Steve Seitz, Ira Kemelmacher-Shlizerman

License

This work is licensed under Creative Commons BY-NC-SA 4.0.

Installation

Please see docs/INSTALL.md

Full Pipeline Demo

Please see docs/DEMO.md

Testing Mesh Generation Networks

Please see docs/TEST.md

Training Mesh Generation Networks

Please see docs/TRAIN.md

Citation

If you use this code for your research, please citing our work.

@InProceedings{zhu_2020_eccv_nba,
    author={Zhu, Luyang and Rematas, Konstantinos and Curless, Brian and Seitz, Steve and Kemelmacher-Shlizerman, Ira},
    title={Reconstructing NBA players},
    booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
    month = {August},
    year={2020}
}

About

ECCV2020 - Official code repository for the paper : Reconstructing NBA Players

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Language:Python 82.5%Language:Cuda 15.5%Language:C++ 1.1%Language:Objective-C 0.8%Language:Shell 0.2%