A practical ply-based appearance model of woven fabrics

Montazeri, Zahra; Gammelmark, Søren B.; Zhao, Shuang; Jensen, Henrik Wann

doi:10.1145/3414685.3417777

Cited by 15 publications

(9 citation statements)

References 47 publications

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“…Our method does not consider the contribution of fly‐away fibers because the orientation of fly‐away fibers is completely different from the regular fibers. However, it is possible to represent and render fly‐away fibers by modeling them separately, a similar approach has already been used in [MGZJ20].…”

Section: Conclusion and Discussionmentioning

confidence: 99%

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A Practical and Hierarchical Yarn‐based Shading Model for Cloth

Zhu

Montazeri

Aubry³

et al. 2023

Computer Graphics Forum

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Realistic cloth rendering is a longstanding challenge in computer graphics due to the intricate geometry and hierarchical structure of cloth: Fibers form plies which in turn are combined into yarns which then are woven or knitted into fabrics. Previous fiber‐based models have achieved high‐quality close‐up rendering, but they suffer from high computational cost, which limits their practicality. In this paper, we propose a novel hierarchical model that analytically aggregates light simulation on the fiber level by building on dual‐scattering theory. Based on this, we can perform an efficient simulation of ply and yarn shading. Compared to previous methods, our approach is faster and uses less memory while preserving a similar accuracy. We demonstrate both through comparison with existing fiber‐based shading models. Our yarn shading model can be applied to curves or surfaces, making it highly versatile for cloth shading. This duality paired with its simplicity and flexibility makes the model particularly useful for film and games production.

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Section: Conclusion and Discussionmentioning

confidence: 99%

“…More recently, as an alternative to surface‐based approaches, a family of appearance models are introduced describing the cloth as explicit fibers (e.g. [KSZ*15]), plies ([MGZJ20]), or yarns (e.g. [YKJM12]) providing high‐fidelity renderings in close‐up views.…”

Section: Related Workmentioning

confidence: 99%

A Practical and Hierarchical Yarn‐based Shading Model for Cloth

Zhu

Montazeri

Aubry³

et al. 2023

Computer Graphics Forum

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show abstract

“…[ZHRB13] propose a precomputation optimization that exploits the repetitive structure across patches and efficiently simulates multiple scattering. However, accurately modelling virtual cloth is an active area of research and many other approaches exist [SKZ11, ZJMB12, ZLB16, ACG*17, DXT17, MGZJ20]. Hair and fur generally rely on geometric curves to model the individual fibers.…”

Section: Related Workmentioning

confidence: 99%

NeRF‐Tex: Neural Reflectance Field Textures

Baatz

Granskog

Papas

et al. 2022

Computer Graphics Forum

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We investigate the use of neural fields for modelling diverse mesoscale structures, such as fur, fabric and grass. Instead of using classical graphics primitives to model the structure, we propose to employ a versatile volumetric primitive represented by a neural reflectance field (NeRF-Tex), which jointly models the geometry of the material and its response to lighting. The NeRF-Tex primitive can be instantiated over a base mesh to 'texture' it with the desired meso and microscale appearance. We condition the reflectance field on user-defined parameters that control the appearance. A single NeRF texture thus captures an entire space of reflectance fields rather than one specific structure. This increases the gamut of appearances that can be modelled and provides a solution for combating repetitive texturing artifacts. We also demonstrate that NeRF textures naturally facilitate continuous level-of-detail rendering. Our approach unites the versatility and modelling power of neural networks with the artistic control needed for precise modelling of virtual scenes. While all our training data are currently synthetic, our work provides a recipe that can be further extended to extract complex, hard-to-model appearances from real images.

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“…After the idea of dynamic free-form deformations were introduced by Faloutsos et al [1997], researchers embedded geometric detail into animations of elasticity [Sifakis et al 2007], fracture [Muller et al 2004], viscoelasticity [Wojtan and Turk 2008], fluids [Wojtan et al 2009], and articulated characters [Rumman and Fratarcangeli 2016]. Researchers also use this idea to deform woven yarn pattern geometry [Montazeri et al 2020;Zhao et al 2016]. Hoffman et al [2020] map detailed knit, crochet, and sequin geometry onto cloth meshes with support for fly-away fibers.…”

Section: Related Workmentioning

confidence: 99%

“…Computer graphics researchers have developed a number of algorithms for rendering yarns and fibers [Montazeri et al 2020[Montazeri et al , 2019Wu and Yuksel 2017]. For the examples in this paper, we tessellate the deformed yarns as cylindrical meshes in a geometry shader.…”

Section: Real-time Renderingmentioning

confidence: 99%

Mechanics-aware deformation of yarn pattern geometry

2021

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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.

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A practical ply-based appearance model of woven fabrics

Cited by 15 publications

References 47 publications

A Practical and Hierarchical Yarn‐based Shading Model for Cloth

A Practical and Hierarchical Yarn‐based Shading Model for Cloth

NeRF‐Tex: Neural Reflectance Field Textures

Mechanics-aware deformation of yarn pattern geometry

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