Technical Papers

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Data-Driven Structural Priors for Shape Completion

Tuesday, 03 November: 14:15 - 16:00

We propose a novel data-driven shape completion algorithm that leverages both a database of example segmented shapes and symmetry priors to estimate the geometry of the occluded regions. The main contribution of this work is a method that can estimate shape part and symmetry structure from a partial scan.

Minhyuk Sung, Stanford University
Vladimir Kim, Stanford University
Roland Angst, Stanford University
Leonidas Guibas, Stanford University

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