Computational Design of Skintight Clothing

Tiberiu Popa

Abstract:

We propose an optimization-driven approach for automated, physics-based
pattern design for tight-fitting clothing. Designing such clothing poses particular challenges since large nonlinear deformations, tight contact between
cloth and body, and body deformations have to be accounted for. To address
these challenges, we develop a computational model based on an embedding
of the two-dimensional cloth mesh in the surface of the three-dimensional
body mesh. Our Lagrangian-on-Lagrangian approach eliminates contact
handling while coupling cloth and body. Building on this model, we develop
a physics-driven optimization method based on sensitivity analysis that
automatically computes optimal patterns according to design objectives
encoding body shape, pressure distribution, seam traction, and other criteria. We demonstrate our approach by generating personalized patterns for
various body shapes and a diverse set of garments with complex pattern
layouts.