Unphased Wrinkles: Estimating cloth elasticity parameters using a frequency-based loss
Egor Larionov, Marie-Lena Eckert, Katja Wolff, Tuur Stuyck

TL;DR
This paper introduces a simplified, frequency-based loss function for estimating cloth elasticity parameters from real-world fabric scans, accommodating wrinkles and decoupling capture from optimization.
Contribution
It proposes a novel specialized loss for wrinkled fabrics and a pipeline that simplifies fabric property estimation from easily captured data.
Findings
Successfully estimated parameters for three real fabrics and three digital fabrics.
The method captures material-specific behavior despite wrinkles.
Decouples capture and optimization, simplifying the process.
Abstract
Generating realistic clothing for virtual applications like online retail and digital avatars is crucial but requires expert knowledge of 3D tools to generating believable simulations. Recently, a number of works proposed to estimate cloth material properties from specialized capture setups. However, these systems tend to be monolithic, complex and expensive. We propose a simplified method for automatically determining parameters based on easily captured real-world fabrics. While existing methods carefully design experiments to isolate stretch parameters from bending modes, we embrace that stretching fabrics causes wrinkling and propose a novel specialized loss for comparing wrinkled fabrics. We designed our objective function to capture material-specific behavior, resulting in similar values for different wrinkle configurations of the same material. We estimate bending first, given…
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