Current Status and Prospect of Research on Modeling and Rendering Techniques for Realistic Materials

被引：0
作者：
Tao, Chengzhi [1 ]
Sun, Qi [1 ]
Guo, Jie [1 ]
Yuan, Junping [1 ]
Zhou, Chengxi [1 ]
He, Xueyan [1 ]
Fan, Zhimin [1 ]
Shi, Pengcheng [1 ]
Guo, Yanwen [1 ]
机构：
[1] State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing
来源：
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics | 2024年 / 36卷 / 08期
关键词：
cloth rendering; hair/fur rendering; importance sampling; material; realistic rendering; skin rendering; surface microstructure; texture prefiltering;
D O I：
10.3724/SP.J.1089.2024.2024-00145
中图分类号：
学科分类号：
摘要：
In the composition of virtual scenes, besides three-dimensional geometric models, the most important element is the appearance of object surfaces. Physically-based modeling and realistic rendering of materials are crucial means to ensure the realism of virtual scenes. However, due to the diversity and complexity of real-world material appearance, research on realistic materials has been a hot and challenging topic in the field of computer graphics. In this paper, we summarize numerous relevant works on material appearance, categorizing them into two main aspects: appearance modeling and realistic rendering of materials. Furthermore, material models are divided into two major categories: general material models with board representational space and special material models tailored for materials such as hair and fabric. Material rendering methods are also classified into two types: point-sampling optimization for offline rendering and material pre-filtering for real-time rendering. Finally, three potential directions for material research are pointed out: neural network materials, wave optics materials and a unified standard of material, providing insights for future research in this field. © 2024 Institute of Computing Technology. All rights reserved.
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页码：1131 / 1154
页数：23
相关论文
共 141 条
  • [1] Nicodemus F E, Richmond J C, Hsia J J, Et al., Geometrical considerations and nomenclature for reflectance, (1977)
  • [2] Bartell F O, Dereniak E L, Wolfe W L., The theory and measurement of bidirectional reflectance distribution function (BRDF) and bidirectional transmittance distribution function (BTDF), Proceedings of Radiation Scattering in Optical Systems, pp. 154-160, (1981)
  • [3] Torrance K E, Sparrow E M., Theory for off-specular reflection from roughened surfaces, Journal of the Optical Society of America, 57, 9, pp. 1105-1114, (1967)
  • [4] Beckmann P, Spizzichino A., The scattering of electromagnetic waves from rough surfaces, (1963)
  • [5] Walter B, Marschner S R, Li H S, Et al., Microfacet models for refraction through rough surfaces, Proceedings of the 18th Eurographics Conference on Rendering Techniques, pp. 195-206, (2007)
  • [6] Oren M, Nayar S K., Generalization of Lambert’s reflectance model, Proceedings of the 21st Annual Conference on Computer Graphics and Interactive Techniques, pp. 239-246, (1994)
  • [7] Smith B., Geometrical shadowing of a random rough surface, IEEE Transactions on Antennas and Propagation, 15, 5, pp. 668-671, (1967)
  • [8] Ashikmin M, Premoze S, Shirley P., A microfacet-based BRDF generator, Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques, pp. 65-74, (2000)
  • [9] Ross V, Dion D, Potvin G., Detailed analytical approach to the Gaussian surface bidirectional reflectance distribution function specular component applied to the sea surface, Journal of the Optical Society of America, 22, 11, pp. 2442-2453, (2005)
  • [10] Heitz E, Bourlier C, Pinel N., Correlation effect between transmitter and receiver azimuthal directions on the illumination function from a random rough surface, Waves in Random and Complex Media, 23, 3, pp. 318-335, (2013)
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