3D object reconstruction from a single depth view with adversarial learning
<p>In this paper, we propose a novel <b>3D-RecGAN</b> approach, which reconstructs the complete 3D structure of a given object from a single arbitrary depth view using generative adversarial networks. Unlike the existing work which typically requires multiple views of the same obj...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Published: |
IEEE
2018
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