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Panos authored Dec 22, 2017
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Expand Up @@ -3,6 +3,8 @@ Created by <a href="http://web.stanford.edu/~optas/" target="_blank">Panos Achli

![representative](https://github.com/optas/latent_3d_points/blob/master/doc/images/teaser.jpg)

# !! Code will be fully functioning (AE and GANs) by _December 26, 2017_. Please stay stuned.

## Introduction
This work is based on our [arXiv tech report](https://arxiv.org/abs/1707.02392). We proposed a novel deep net architecture for auto-encoding point clouds. The learned representations were amenable to semantic part editting, shape analogies, linear classification and shape interpolations.
<!-- You can also check our [project webpage](http://stanford.edu/~rqi/pointnet) for a deeper introduction. -->
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