66 citations · 115 across the 6 of their papers we have counts for
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cs.CV2020★ 9 cited
Learning Gradient Fields for Shape Generation
Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor +4
In this work, we propose a novel technique to generate shapes from point cloud data. A point cloud can be viewed as samples from a distribution of 3D points whose density is concen…
cs.CV2020★ 6 cited
DualSDF: Semantic Shape Manipulation using a Two-Level Representation
Zekun Hao, Hadar Averbuch-Elor, Noah Snavely +1
We are seeing a Cambrian explosion of 3D shape representations for use in machine learning. Some representations seek high expressive power in capturing high-resolution detail. Oth…