Mechanics-aware deformation of yarn pattern geometry
Georg Sperl, Rahul Narain, Chris Wojtan
摘要
Triangle mesh-based simulations are able to produce satisfying animations of knitted and woven cloth; however, they lack the rich geometric detail of yarn-level simulations. Naive texturing approaches do not consider yarn-level physics, while full yarn-level simulations may become prohibitively expensive for large garments. We propose a method to animate yarn-level cloth geometry on top of an underlying deforming mesh in a mechanics-aware fashion. Using triangle strains to interpolate precomputed yarn geometry, we are able to reproduce effects such as knit loops tightening under stretching. In combination with precomputed mesh animation or real-time mesh simulation, our method is able to animate yarn-level cloth in real-time at large scales.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了最后一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper2
- Estimation of yarn-level simulation models for production fabricsGeorg Sperl, Rosa María Sánchez-Banderas, Manwen Li, Chris Wojtan 等SIGGRAPH 2022 · 被引用 42 次
- FlexScale: Modeling and Characterization of Flexible Scaled SheetsJuan Montes Maestre, Yinwei Du, Ronan Hinchet, Stelian Coros 等SIGGRAPH 2024 · 被引用 6 次
它引用的顶会 Paper2
相关 Paper
- Real-Time Knit Deformation and RenderingTao Huang, Haoyang Shi, Mengdi Wang, Yuxing Qiu 等SIGGRAPH 2025 · 被引用 3 次
- Interactive Yarn-level Knitwear with Nested Douglas-Rachford SplittingChun Yuan, Zixuan Lu, Haoyang Shi, Dewen Guo 等SIGGRAPH 2026
- Fast linking numbers for topology verification of loopy structuresAnte Qu, Doug L. JamesSIGGRAPH 2021 · 被引用 17 次
- Neural-Assisted Homogenization of Yarn-Level ClothXudong Feng, Huamin Wang, Yin Yang, Weiwei XuSIGGRAPH 2024 · 被引用 9 次
- Super-Resolution Cloth Animation with Spatial and Temporal CoherenceJiawang Yu, Zhendong WangSIGGRAPH 2024 · 被引用 7 次
