 
Chebyshev Parameterization for Woven Fabric Modeling
The paper proposes a new surface parameterization method that models woven fabrics more accurately by using Chebyshev-net-based distortion energy, which accounts for anisotropic stretch and shear.
 
The paper proposes a new surface parameterization method that models woven fabrics more accurately by using Chebyshev-net-based distortion energy, which accounts for anisotropic stretch and shear.
 
The paper introduces a method for utilizing an embroidery technique called smocking to realize freeform surfaces from a flat piece of fabric. By combining directional field computation and continuous planar graph optimization, our algorithm outputs a stitching pattern that generates an approximation of the target shape upon stitching.
 
The paper presents a method for digitally previewing a smocking pattern design by formulating smocking as a graph embedding and shape deformation problem.