Virtual garment simulation has become increasingly important with applications in garment design and virtual try-on. However, reproducing garments faithfully remains a cumbersome process. We propose an end-to-end method for estimating parameters of shell material models corresponding to real fabrics with minimal priors. Our method determines yarn model properties from information directly obtained from real fabrics, unlike methods that require expensive specialized capture systems. We use an extended homogenization method to match yarn-level and shell-level hyperelastic energies with respect to a range of surface deformations represented by the first and second fundamental forms, including bending along the diagonal to warp and weft directions. We optimize the parameters of a shell deformation model involving uncoupled bending and membrane energies. This allows the simulated model to exhibit nonlinearity and anisotropy seen in real cloth. Finally, we validate our results with quantitative and visual comparisons against real world fabrics through stretch tests and drape experiments. Our homogenized shell models not only capture the characteristics of underlying yarn patterns, but also exhibit distinct behaviors for different yarn materials.

翻译：虚拟服装仿真在服装设计与虚拟试穿中的应用日益重要。然而，高保真地再现服装仍然是一个繁琐的过程。我们提出了一种端到端方法，以最小先验信息估计对应真实织物的壳体材料模型参数。与需要昂贵专用捕捉系统的方法不同，我们的方法直接从真实织物获取的信息确定纱线模型属性。我们采用扩展均匀化方法，将纱线级与壳体级的超弹性能量相匹配，对应由第一和第二基本形式表示的表面变形范围，包括沿对角线方向（经向与纬向之间）的弯曲。我们优化了涉及非耦合弯曲与膜能量的壳体变形模型参数，使模拟模型能够展现真实织物中存在的非线性与各向异性。最后，通过拉伸测试与悬垂实验，我们与真实织物进行了定量与视觉对比验证。我们的均匀化壳体模型不仅捕捉了底层纱线图案的特征，还展现了不同纱线材料的独特行为。