Adversarial Autoencoders for Compact Representations of 3D Point Clouds

19 Nov 2018Maciej ZamorskiMaciej ZiębaPiotr KlukowskiRafał NowakKarol KurachWojciech StokowiecTomasz Trzciński

Deep generative architectures provide a way to model not only images but also complex, 3-dimensional objects, such as point clouds. In this work, we present a novel method to obtain meaningful representations of 3D shapes that can be used for challenging tasks including 3D points generation, reconstruction, compression, and clustering... (read more)

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