NBA-Players
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ECCV2020 - Official code repository for the paper : Reconstructing NBA Players
Reconstructing NBA Players
[Project Page] [Paper] [Dataset]
![](https://github.com/luyangzhu/NBA-Players/raw/master/docs/assets/pipeline.jpg)
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}
}