Computational pattern making from 3D garment models

We propose a method for computing sewing pattern of given 3D garment model. Our algorithm segments an input shape into patches and computes their 2D parameterization, resulting in pieces that can be cut out fabric sewn together to manufacture the garment. Unlike general state-of-the-art approaches surface cutting flattening, our explicitly targets fabrication. It accounts unique properties constraints tailoring, such as seam symmetry, usage darts, grain alignment, flattening distortion measure models woven deformation, respecting its anisotropic behavior. bootstrap recent patch layout approach developed quadrilateral remeshing adapt it purpose computational making, ensuring deformation each piece stays within prescribed bounds cloth stress. While automatically produce patterns, is fast enough admit user creatively iterate on design. take several target poses account integrate them demonstrate results both skintight loose garments, showcasing versatile application possibilities approach.