Many approaches to draping individual garments on human body models are
realistic, fast, and yield outputs that are differentiable with respect to the
body shape on which they are draped. However, none of them can handle
multi-layered clothing, which is prevalent in everyday dress. In this paper, we
introduce a parametric garment representation model that can. As in models used
by clothing designers, each garment consists of individual 2D panels. Their 2D
shape is defined by a Signed Distance Function and 3D shape by a 2D to 3D
mapping. The 2D parameterization enables easy detection of potential collisions
and the 3D parameterization handles complex shapes effectively. We show that
this combination is faster and yields higher quality reconstructions than
purely implicit surface representations, and makes the recovery of layered
garments from images possible thanks to its differentiability. Furthermore, it
supports rapid editing of garment shapes and texture by modifying individual 2D
panels.

本文介绍一种参数化服装表示模型，它可以处理多层服装，并且使用 2D 和 3D 参数化定义服装形状来实现不同 iability，这种组合比纯隐式表面表示更快，重建结果更高质量，并且支持通过修改 2D 面材质实现快速编辑服装形状。