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Tao Chengzhi, Sun Qi, Guo Jie, Yuan Junping, Zhou Chengxi, He Xueyan, Fan Zhimin, Shi Pengcheng, Guo Yanwen. Current Status and Prospect of Research on Modeling and Rendering Techniques for Realistic Materials[J]. Journal of Computer-Aided Design & Computer Graphics, 2024, 36(8): 1131-1154. DOI: 10.3724/SP.J.1089.2024.2024-00145
Citation: Tao Chengzhi, Sun Qi, Guo Jie, Yuan Junping, Zhou Chengxi, He Xueyan, Fan Zhimin, Shi Pengcheng, Guo Yanwen. Current Status and Prospect of Research on Modeling and Rendering Techniques for Realistic Materials[J]. Journal of Computer-Aided Design & Computer Graphics, 2024, 36(8): 1131-1154. DOI: 10.3724/SP.J.1089.2024.2024-00145

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

  • 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.
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