Physics-based fluid simulation in computer graphics: Survey, research trends, and challenges

计算机科学 计算机图形学 绘图 实施 领域(数学) 数据科学 可扩展性 透视图(图形) 光学(聚焦) 计算科学 人机交互 计算机图形学(图像) 人工智能 软件工程 物理 数学 数据库 光学 纯数学
作者
Xiaokun Wang,Yanrui Xu,Sinuo Liu,Bo Ren,Jiří Kosinka,Alexandru Telea,Jiamin Wang,Chongming Song,Jian Chang,Ming C. Lin,Jianjun Zhang,Xiaojuan Ban
出处
期刊:Computational Visual Media [Springer Nature]
卷期号:10 (5): 803-858 被引量:2
标识
DOI:10.1007/s41095-023-0368-y
摘要

Abstract Physics-based fluid simulation has played an increasingly important role in the computer graphics community. Recent methods in this area have greatly improved the generation of complex visual effects and its computational efficiency. Novel techniques have emerged to deal with complex boundaries, multiphase fluids, gas–liquid interfaces, and fine details. The parallel use of machine learning, image processing, and fluid control technologies has brought many interesting and novel research perspectives. In this survey, we provide an introduction to theoretical concepts underpinning physics-based fluid simulation and their practical implementation, with the aim for it to serve as a guide for both newcomers and seasoned researchers to explore the field of physics-based fluid simulation, with a focus on developments in the last decade. Driven by the distribution of recent publications in the field, we structure our survey to cover physical background; discretization approaches; computational methods that address scalability; fluid interactions with other materials and interfaces; and methods for expressive aspects of surface detail and control. From a practical perspective, we give an overview of existing implementations available for the above methods.

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