23 lines
1.1 KiB
Markdown
23 lines
1.1 KiB
Markdown
# Shape As Points (SAP)
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[**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>
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This repository contains the implementation of the paper:
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Shape As Points: A Differentiable Poisson Solver
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[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/)
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**NeurIPS 2021 (Oral)**
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## Code is coming soon!
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If you find our code or paper useful, please consider citing
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```bibtex
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@inproceedings{Peng2021SAP,
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author = {Peng, Songyou and Jiang, Chiyu "Max" and Liao, Yiyi and Niemeyer, Michael and Pollefeys, Marc and Andreas, Geiger},
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title = {Shape As Points: A Differentiable Poisson Solver},
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booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
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year = {2021}}
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```
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