# Shape As Points (SAP)
[**Paper**](https://arxiv.org/abs/2106.03452) | [**Project Page**](https://pengsongyou.github.io/sap) | [**Short Video (6 min)**](https://youtu.be/FL8LMk_qWb4) | [**Long Video (13 min)**](https://youtu.be/TgR0NvYty0A)  <br>

![](./media/teaser_wheel.gif)

This repository contains the implementation of the paper:

Shape As Points: A Differentiable Poisson Solver  
[Songyou Peng](https://pengsongyou.github.io/), [Chiyu "Max" Jiang](https://www.maxjiang.ml/), [Yiyi Liao](https://yiyiliao.github.io/), [Michael Niemeyer](https://m-niemeyer.github.io/), [Marc Pollefeys](https://www.inf.ethz.ch/personal/pomarc/) and [Andreas Geiger](http://www.cvlibs.net/)  
**NeurIPS 2021 (Oral)**  


## Code is coming soon!

If you find our code or paper useful, please consider citing
```bibtex
@inproceedings{Peng2021SAP,
 author    = {Peng, Songyou and Jiang, Chiyu "Max" and Liao, Yiyi and Niemeyer, Michael and Pollefeys, Marc and Andreas, Geiger},
 title     = {Shape As Points: A Differentiable Poisson Solver},
 booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
 year      = {2021}}
```