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A Multi-scale Yarn Appearance Model with Fiber Details

Authors :
Khattar, Apoorv
Zhu, Junqui
Padovani, Emiliano
Aurby, Jean-Marie
Droske, Marc
Yan, Ling-Qi
Montazeri, Zahra
Publication Year :
2024

Abstract

Rendering realistic cloth has always been a challenge due to its intricate structure. Cloth is made up of fibers, plies, and yarns, and previous curved-based models, while detailed, were computationally expensive and inflexible for large cloth. To address this, we propose a simplified approach. We introduce a geometric aggregation technique that reduces ray-tracing computation by using fewer curves, focusing only on yarn curves. Our model generates ply and fiber shapes implicitly, compensating for the lack of explicit geometry with a novel shadowing component. We also present a shading model that simplifies light interactions among fibers by categorizing them into four components, accurately capturing specular and scattered light in both forward and backward directions. To render large cloth efficiently, we propose a multi-scale solution based on pixel coverage. Our yarn shading model outperforms previous methods, achieving rendering speeds 3-5 times faster with less memory in near-field views. Additionally, our multi-scale solution offers a 20% speed boost for distant cloth observation.

Subjects

Subjects :
Computer Science - Graphics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2401.12724
Document Type :
Working Paper