Deep point correlation design
Abstract
Designing point patterns with desired properties can require substantial effort, both in hand-crafting coding and mathematical derivation. Retaining these properties in multiple dimensions or for a substantial number of points can be challenging and computationally expensive. Tackling those two issues, we suggest to automatically generate scalable point patterns from design goals using deep learning. We phrase pattern generation as a deep...
Paper Details
Title
Deep point correlation design
Published Date
Nov 8, 2019
Journal
Volume
38
Issue
6
Pages
1 - 17
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