ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns
This addresses the limitation of realistic garment draping for multi-layered clothing in computer graphics and fashion design, though it is incremental as it builds on existing parametric and implicit methods.
The paper tackles the problem of draping multi-layered garments on human bodies in various poses, which existing methods struggle with, by introducing a parametric model that combines 2D panels with implicit functions, resulting in faster and higher-quality reconstructions compared to purely implicit representations.
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.