ISP：基于隐式缝纫图案的多层服装悬垂
ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns
AI总结：
本文提出ISP参数化服装表示模型，利用2D裁片与隐式缝纫图案实现多层服装悬垂，支持碰撞检测、可微重建及快速编辑。
摘要：
许多在人体模型上悬垂单件服装的方法既逼真又快速，并且其输出相对于所悬垂的人体形状是可微的。然而，它们要么无法处理日常穿着中普遍存在的多层服装，要么仅限于T姿势的身体。在本文中，我们引入了一种参数化服装表示模型来解决这些限制。与服装设计师使用的模型一样，每件服装由独立的2D裁片组成。其2D形状由符号距离函数定义，3D形状由2D到3D的映射定义。2D参数化便于轻松检测潜在的碰撞，而3D参数化则能有效处理复杂形状。我们证明，这种组合比纯隐式表面表示更快，并能产生更高质量的重建，同时由于其可微性，使得从图像中恢复分层服装成为可能。此外，它支持通过修改各个2D裁片来快速编辑服装形状和纹理。
英文摘要：
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, they are either unable to handle multi-layered clothing, which is prevalent in everyday dress, or restricted to bodies in T-pose. In this paper, we introduce a parametric garment representation model that addresses these limitations. 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.
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