Estimation of yarn-level simulation models for production fabrics
Georg Sperl, Rosa María Sánchez-Banderas, Manwen Li, Chris Wojtan, Miguel A. Otaduy
摘要
Yarn Model Fitting
This paper introduces a methodology for inverse-modeling of yarn-level mechanics of cloth, based on the mechanical response of fabrics in the real world. We compiled a database from physical tests of several different knitted fabrics used in the textile industry. These data span different types of complex knit patterns, yarn compositions, and fabric finishes, and the results demonstrate diverse physical properties like stiffness, nonlinearity, and anisotropy. We then develop a system for approximating these mechanical responses with yarn-level cloth simulation. To do so, we introduce an efficient pipeline for converting between fabric-level data and yarn-level simulation, including a novel swatch-level approximation for speeding up computation, and some small-but-necessary extensions to yarn-level models used in computer graphics. The dataset used for this paper can be found at http://mslab.es/ projects/YarnLevelFabrics.
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引用它的顶会 Paper2
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它引用的顶会 Paper6
- Incremental potential contact: intersection-and inversion-free, large-deformation dynamicsMinchen Li, Zachary Ferguson, Teseo Schneider, Timothy R. Langlois 等SIGGRAPH 2020 · 被引用 320 次
- Homogenized yarn-level clothGeorg Sperl, Rahul Narain, Chris WojtanSIGGRAPH 2020 · 被引用 72 次
- Physical validation of simulators in computer graphics: a new framework dedicated to slender elastic structures and frictional contactVictor Romero, Mickaël Ly, Abdullah Haroon Rasheed, Raphaël Charrondière 等SIGGRAPH 2021 · 被引用 31 次
- Mechanics-aware deformation of yarn pattern geometryGeorg Sperl, Rahul Narain, Chris WojtanSIGGRAPH 2021 · 被引用 18 次
- Learning to Measure the Static Friction Coefficient in Cloth ContactAbdullah Haroon Rasheed, Victor Romero, Florence Bertails-Descoubes, Stefanie Wuhrer 等CVPR 2020
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