← ArchivePaper2020
Mixing Yarns and Triangles in Cloth Simulation
Juan J. Casafranca, Gabriel Cirio, Alejandro Rodriguez, Eder Miguel, Miguel A. Otaduy
This work combines triangle-based and yarn-based models within a single cloth simulation to leverage the strengths of both.
Abstract
This work combines triangle-based and yarn-based models within a single cloth simulation to leverage the strengths of both. Most of a garment is represented with an efficient triangle model that lowers computational and memory cost, while key regions use a yarn-level model that captures rich nonlinear and plastic effects. An enriched kinematic representation with an optimal kinematic filter enables a smooth transition between the two models, and a dedicated preconditioner handles the disparate inertia of triangle and yarn nodes.
How to read this
- Category
- Method: a hybrid triangle/yarn cloth simulation
- Contributions
- A single cloth simulation that combines an efficient triangle model for most of a garment with a yarn-level model in key regions to capture nonlinear and plastic effects.
- An enriched kinematic representation with an optimal kinematic filter that enables a smooth transition between the two models.
- A dedicated preconditioner that handles the disparate inertia of triangle and yarn nodes.
- Context
- Builds on yarn-level cloth simulation (Cirio et al.'s yarn-level woven-cloth work) and on standard triangle-mesh cloth models, seeking the strengths of both.Builds on: Yarn-Level Simulation of Woven Cloth
- Correctness
- The benefit hinges on placing yarn-level regions where rich behavior matters while keeping the rest as triangles; the coupling correctness depends on the kinematic filter and preconditioner, so region choice and interface handling are the limits to keep in mind.
- Clarity
- Technical; a first pass conveys the hybrid motivation, but the kinematic filter and preconditioner require a careful second (and likely third) pass.
- How to read it
- Read first for where and why yarns are mixed into triangles; a second pass on the kinematic filter and preconditioner is essential if you intend to implement the coupling.
Builds on
Built upon by
Nothing yet.
Related work
- Directing Cloth Draping through Blended UVs 2025 / SIGGRAPH
- Art-Directed Costumes at Pixar: Design, Tailoring, and Simulation in Production 2018 / SIGGRAPH Asia Courses
- Cloth and Skin Deformation with a Triangle Mesh Based Convolutional Neural Network 2020 / CGF
- Mechanics-Aware Deformation of Yarn Pattern Geometry 2021 / TOG
Keywords
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