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Estimating Cloth Elasticity Parameters From Homogenized Yarn-Level Models

Joy Xiaoji Zhang, Gene Wei-Chin Lin, Lukas Bode, Hsiao-yu Chen, Tuur Stuyck, Egor Larionov

TL;DR

The paper addresses faithful cloth reproduction by estimating shell model parameters from real fabrics through a homogenized yarn-level multiscale framework. It introduces an end-to-end pipeline that derives yarn parameters from simple measurements, simulates periodic yarns under a range of deformations, and fits an orthotropic StVK shell model including off-diagonal bending terms. Validation is performed against stretch tests, drape experiments, and full-body garment simulations, showing both qualitative and quantitative agreement with real fabrics and demonstrating material-specific differences in stiffness and anisotropy. The approach provides physics-based, initialization-friendly parameter estimates that sidestep expensive capture systems while enabling practical garment design and virtual try-on applications.

Abstract

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.

Estimating Cloth Elasticity Parameters From Homogenized Yarn-Level Models

TL;DR

The paper addresses faithful cloth reproduction by estimating shell model parameters from real fabrics through a homogenized yarn-level multiscale framework. It introduces an end-to-end pipeline that derives yarn parameters from simple measurements, simulates periodic yarns under a range of deformations, and fits an orthotropic StVK shell model including off-diagonal bending terms. Validation is performed against stretch tests, drape experiments, and full-body garment simulations, showing both qualitative and quantitative agreement with real fabrics and demonstrating material-specific differences in stiffness and anisotropy. The approach provides physics-based, initialization-friendly parameter estimates that sidestep expensive capture systems while enabling practical garment design and virtual try-on applications.

Abstract

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.
Paper Structure (17 sections, 17 equations, 9 figures)

This paper contains 17 sections, 17 equations, 9 figures.

Figures (9)

  • Figure 1: A square swatch (oriented vertically along the warp direction) is draped using various bending parameters. Each column indicates which parameter is modified with respect to the others. The right column makes all parameters either soft (top row) or stiff (bottom row).
  • Figure 2: Overview of our proposed yarn-shell parameter estimation method.
  • Figure 3: Strain-force plot. Blue: Biphasic piecewise linear stretch proposed by sperl2020hylc. Orange: Ours.
  • Figure 4: The garments used in our results. The bottom row shows close-up images of the fabrics.
  • Figure 5: Fabric analyzer (FAB) measures force exerted by the fabric as it is stretched. The machine is enhanced with ArUco markers opencv to determine the ratio between stretch (horizontal length) and orthogonal compression (vertical length drawn in red).
  • ...and 4 more figures