Realistic Cloth Rendering with a Ray-Wave Hybrid Shading Model

Realistic fabric rendering is still a significant challenge due to their complex structures and varying fiber properties. We present a new fabric shading technique, which models both reflection and transmission using a hybrid of ray and wave optics methods, grounded in simulation data. We target fabrics woven from yarns, each formed by twisting together one or more plies, which further contain twisted fibers. Our model is based on simulations that predict the scattering of a narrow Gaussian beam by a single ply. Comparing results from full-wave simulations and path tracing, we found that ray optics can accurately simulate the average far field scattering from an ensemble of plies, but not the variation among individual ply instances, and ray tracing overlooks important diffraction effects. Following these observations, our model is built from ray simulations performed for many ply instances, with simulation data fitted by Gaussian mixtures to be used during rendering. Wave simulations are used to calibrate noise functions that account for instance-to-instance variation, and an aperture diffraction model is used to handle light passing between plies and yarns. The result is a hybrid model capable of producing realistic appearance and highlight structure in fabrics, while capturing spatial break-ups and irregularities and simulating the subtle color shifts and blurriness that occur in transmission. We validate our results by comparing rendered images with photographs, demonstrating the effectiveness of our approach in achieving realistic cloth rendering.

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Publication Details

Journal
ACM Transactions on Graphics
Published
2025-12-01
DOI
https://doi.org/10.1145/3763359
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
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article

Realistic Cloth Rendering with a Ray-Wave Hybrid Shading Model

Andrea Weidlich, Steve Marschner, Bruce Walter, Yunchen Yu
ACM Transactions on Graphics
Computer Graphics and Visualization Techniques
article

Realistic Cloth Rendering with a Ray-Wave Hybrid Shading Model

Andrea Weidlich, Steve Marschner, Bruce Walter, Yunchen Yu
article en

Abstract

Realistic fabric rendering is still a significant challenge due to their complex structures and varying fiber properties. We present a new fabric shading technique, which models both reflection and transmission using a hybrid of ray and wave optics methods, grounded in simulation data. We target fabrics woven from yarns, each formed by twisting together one or more plies, which further contain twisted fibers. Our model is based on simulations that predict the scattering of a narrow Gaussian beam by a single ply. Comparing results from full-wave simulations and path tracing, we found that ray optics can accurately simulate the average far field scattering from an ensemble of plies, but not the variation among individual ply instances, and ray tracing overlooks important diffraction effects. Following these observations, our model is built from ray simulations performed for many ply instances, with simulation data fitted by Gaussian mixtures to be used during rendering. Wave simulations are used to calibrate noise functions that account for instance-to-instance variation, and an aperture diffraction model is used to handle light passing between plies and yarns. The result is a hybrid model capable of producing realistic appearance and highlight structure in fabrics, while capturing spatial break-ups and irregularities and simulating the subtle color shifts and blurriness that occur in transmission. We validate our results by comparing rendered images with photographs, demonstrating the effectiveness of our approach in achieving realistic cloth rendering.

ACM Transactions on GraphicsVol. 44(6)
Nvidia (United Kingdom) (GB), Cornell University (US), Nvidia (United States) (US)
Openalex Percentile: Top 41%
Computer Graphics and Visualization Techniques
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Realistic Cloth Rendering with a Ray-Wave Hybrid Shading Model — Andrea Weidlich, Steve Marschner, et al. · ACM Transactions on Graphics (2025) | TGRS Research Map | TGRS