“Recent Advances in Realistic Cloth Rendering” by Zhu, Montazeri, Chiang and Yan – ACM SIGGRAPH HISTORY ARCHIVES

“Recent Advances in Realistic Cloth Rendering” by Zhu, Montazeri, Chiang and Yan

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    Recent Advances in Realistic Cloth Rendering

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    Fabrics play a significant role in our daily lives, making their digital modeling crucial for applications in online retail, the textile industry, and entertainment, such as games and movies. Despite its importance, there have been significant advances in fabric rendering techniques over the past decade to highlight the state-of-the-art advancements. Rendering fabrics is a complex task due to their intricate microgeometry and anisotropic appearance. Conventional approaches either model fabrics as 2D sheets, which are efficient but lack high fidelity in close-ups, or model them at the fiber level, trading high fidelity with significant computational costs. Recent models propose aggregation-based techniques that combine the strengths of both approaches. Cloth rendering is challenging due to the need for high performance, detailed representation, handling repetitive patterns, and efficient multi-scale rendering. These complexities make it a hard problem in both academia and industry. The industry, in particular, has a strong interest in advancing cloth rendering to meet the high demand for better image quality. This course is essential for bridging the gap between recent research and practical applications. Participants will gain insights into basic cloth properties, the difficulties inherent in cloth rendering, and a detailed review of fiber-based and surface-based models. Additionally, we will cover innovative appearance aggregation techniques that enhance rendering efficiency without compromising visual quality. Through comparative analysis under different patterns and lighting conditions and evaluation against photographs, attendees will develop a deep understanding of state-of-the-art cloth rendering methods. The course will also explore open problems and future research directions, providing a comprehensive overview of the current state and potential advancements in the field.


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