← ArchivePaper2021
Fine Wrinkling on Coarsely Meshed Thin Shells
Zhen Chen, Hsiao-Yu Chen, Danny M. Kaufman, Melina Skouras, Etienne Vouga
Predicts fine wrinkles on a coarse shell mesh without training data or tuning: tension field theory gives the coarse shape, then an amplitude and phase field solved over that base mesh describes the wrinkles.
Abstract
We propose a new model and algorithm to capture the high-definition statics of thin shells via coarse meshes. This model predicts global, fine-scale wrinkling at frequencies much higher than the resolution of the coarse mesh; moreover, it is grounded in the geometric analysis of elasticity, and does not require manual guidance, a corpus of training examples, nor tuning of ad hoc parameters. We first approximate the coarse shape of the shell using tension field theory, in which material forces do not resist compression. We then augment this base mesh with wrinkles, parameterized by an amplitude and phase field that we solve for over the base mesh, which together characterize the geometry of the wrinkles. We validate our approach against both physical experiments and numerical simulations, and we show that our algorithm produces wrinkles qualitatively similar to those predicted by traditional shell solvers requiring orders of magnitude more degrees of freedom.
How to read this
- Category
- Journal paper (TOG 2021) on predicting fine wrinkles on thin shells from a coarse mesh, without simulation at the wrinkle scale.
- Contributions
- A model that captures the high definition statics of thin shells on coarse meshes, predicting global fine scale wrinkling at frequencies far above the mesh resolution.
- A base shape computed with tension field theory, in which the material does not resist compression, so the coarse solve is cheap and well behaved.
- Wrinkles parameterized by an amplitude field and a phase field solved over the base mesh, which together give the wrinkle geometry.
- No manual guidance, no training corpus and no ad hoc parameter tuning: the method is grounded in the geometric analysis of elasticity.
- Validation against physical experiments and against fine numerical simulations, showing qualitatively similar wrinkles to shell solvers with orders of magnitude more degrees of freedom.
- Context
- The direct ancestor of kumar-cloth-wrinkling-2026, which takes this static amplitude and phase formulation and makes it dynamic for coarse cloth. It sits in the tradition of coarse mesh plus detail augmentation that runs from wang-example-wrinkle-2010 and muller-wrinkle-2010, but replaces their data driven or heuristic detail with an analytic one, which is why it needs no examples. If you work with wrinkle maps or coarse cloth rigs, this is the paper that explains where the wrinkles should be and why.
- Correctness
- The claims rest on tension field theory, which is a well established limit of thin shell elasticity, and on physical experiments, which is more validation than most graphics papers bring. The honest limits: it is a statics method, so anything about how wrinkles evolve in motion is out of scope (that is exactly the gap Kumar fills), and tension field theory assumes the sheet is thin enough that compression buckles instantly, which stops being true for stiff or thick materials. The amplitude and phase solve is nonlinear, so check the paper's notes on initialisation if you implement it.
- Clarity
- A dense but well structured TOG paper. The physics background section is unusually careful and readable; the derivations that follow reward slow reading and are not skimmable.
- How to read it
- First pass: abstract, teaser figure and the validation figures against real cloth, to see what is being claimed. Second pass: the tension field theory section and the amplitude and phase parameterization, which are the two ideas everything else builds on. Third pass: the solver details and the comparison with fine simulations, and then go straight to kumar-cloth-wrinkling-2026 to see the dynamic version.
Builds on
Nothing in the archive, this is a starting point.
Built upon by
Related work
- Progressive Simulation for Cloth Quasistatics 2022 / TOG
- The Synthesis of Cloth Objects 1986 / SIGGRAPH
- Subspace Clothing Simulation Using Adaptive Bases 2014 / SIGGRAPH
- Discrete Shells 2003 / SCA
Keywords
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