BriefGPT.xyz
Oct, 2023
基于非结构化生成模型的可探索网格变形子空间
Explorable Mesh Deformation Subspaces from Unstructured Generative Models
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Arman Maesumi, Paul Guerrero, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri...
TL;DR
通过在预训练的生成模型子空间中构建一个易于导航的二维探索空间,将给定的一组标志性形状的变化转化为变形场,以便将这些变化传递到高质量的网格模型。
Abstract
Exploring variations of
3d shapes
is a time-consuming process in traditional 3D modeling tools. Deep
generative models
of
3d shapes
often
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