307 citations · 443 across the 14 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.GR2018★ 59 cited
Learning Implicit Fields for Generative Shape Modeling
Zhiqin Chen, Hao Zhang
We advocate the use of implicit fields for learning generative models of shapes and introduce an implicit field decoder, called IM-NET, for shape generation, aimed at improving the…
cs.GR2018★ 16 cited
SCORES: Shape Composition with Recursive Substructure Priors
Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri +2
We introduce SCORES, a recursive neural network for shape composition. Our network takes as input sets of parts from two or more source 3D shapes and a rough initial placement of t…