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GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
[article]
2019
arXiv
pre-print
Mesh models are a promising approach for encoding the structure of 3D objects. Current mesh reconstruction systems predict uniformly distributed vertex locations of a predetermined graph through a series of graph convolutions, leading to compromises with respect to performance or resolution. In this paper, we argue that the graph representation of geometric objects allows for additional structure, which should be leveraged for enhanced reconstruction. Thus, we propose a system which properly
arXiv:1901.11461v1
fatcat:qtmpheqtxjbjnlwy6foashqh7q