Corpus ID: 53718111

Adversarial Autoencoders for Generating 3D Point Clouds

@article{Zamorski2018AdversarialAF,
  title={Adversarial Autoencoders for Generating 3D Point Clouds},
  author={M. Zamorski and M. Zieba and R. Nowak and Wojciech Stokowiec and T. Trzciński},
  journal={ArXiv},
  year={2018},
  volume={abs/1811.07605}
}

M. Zamorski, M. Zieba, +2 authors T. Trzciński

Published 2018

Computer Science, Mathematics

ArXiv

Deep generative architectures provide a way to model not only images, but also complex, 3-dimensional objects, such as point clouds. [...] Key Method To achieve this goal, we extend a deep Adversarial Autoencoder model (AAE) to accept 3D input and create 3D output.Expand Abstract

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