TL;DR利用基于二叉树空间分割的 BSP-Net 网络实现了无监督的 3D 形状表示学习及多边形网格生成,可高效地将平面分解成凸多边形,生成的网格紧凑、保证充满且易于参数化。
Abstract
Polygonal meshes are ubiquitous in the digital 3D domain, yet they have only played a minor role in the deep learning revolution. Leading methods for learning generative models of shapes rely on implicit functions, and generate meshes only after expensive iso-surfacing routines. To ove