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Olga Diamanti

2 accepted papers

2018

Learning Representations and Generative Models for 3D Point Clouds

ICLR 2018workshop

Three-dimensional geometric data offer an excellent domain for studying representation learning and generative modeling. In this paper, we look at geometric data represented as point clouds. We introduce a deep autoencoder (AE) network with excellent reconstruction quality and generalization ability…

Cited by 1765SourceScholar
2018

Learning Representations and Generative Models for 3D Point Clouds

ICML 2018oral

Three-dimensional geometric data offer an excellent domain for studying representation learning and generative modeling. In this paper, we look at geometric data represented as point clouds. We introduce a deep AutoEncoder (AE) network with state-of-the-art reconstruction quality and generalization…