95 citations · 388 across the 49 of their papers we have counts for
Showing 2018 · cs.CGShow all
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cs.CG2018
Momen(e)t: Flavor the Moments in Learning to Classify Shapes
Mor Joseph-Rivlin, Alon Zvirin, Ron Kimmel
A fundamental question in learning to classify 3D shapes is how to treat the data in a way that would allow us to construct efficient and accurate geometric processing and analysis…
cs.CG2018★ 8 cited
High Quality Facial Surface and Texture Synthesis via Generative Adversarial Networks
Ron Slossberg, Gil Shamai, Ron Kimmel
In the past several decades, many attempts have been made to model synthetic realistic geometric data. The goal of such models is to generate plausible 3D geometries and textures.…
cs.CG2018
Self Functional Maps
Oshri Halimi, Ron Kimmel
A classical approach for surface classification is to find a compact algebraic representation for each surface that would be similar for objects within the same class and preserve…