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

IF 17.3 3区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Xiaokun Wang, Yanrui Xu, Sinuo Liu, Bo Ren, Jiří Kosinka, Alexandru C. Telea, Jiamin Wang, Chongming Song, Jian Chang, Chenfeng Li, Jian Jun Zhang, Xiaojuan Ban
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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.

Abstract Image

计算机制图中基于物理的流体模拟:调查、研究趋势和挑战
基于物理的流体模拟在计算机制图领域发挥着越来越重要的作用。该领域的最新方法大大提高了复杂视觉效果的生成和计算效率。出现了处理复杂边界、多相流体、气液界面和精细细节的新技术。机器学习、图像处理和流体控制技术的并行使用带来了许多有趣而新颖的研究视角。在本调查报告中,我们介绍了基于物理的流体模拟的理论概念及其实际应用,旨在为新手和经验丰富的研究人员探索基于物理的流体模拟领域提供指导,重点关注近十年来的发展。在该领域最新出版物分布的推动下,我们的调查报告涵盖了物理背景、离散化方法、解决可扩展性问题的计算方法、流体与其他材料和界面的相互作用,以及表面细节和控制的表现方法。从实用角度出发,我们概述了上述方法的现有实现方法。
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来源期刊
Computational Visual Media
Computational Visual Media Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
16.90
自引率
5.80%
发文量
243
审稿时长
6 weeks
期刊介绍: Computational Visual Media is a peer-reviewed open access journal. It publishes original high-quality research papers and significant review articles on novel ideas, methods, and systems relevant to visual media. Computational Visual Media publishes articles that focus on, but are not limited to, the following areas: • Editing and composition of visual media • Geometric computing for images and video • Geometry modeling and processing • Machine learning for visual media • Physically based animation • Realistic rendering • Recognition and understanding of visual media • Visual computing for robotics • Visualization and visual analytics Other interdisciplinary research into visual media that combines aspects of computer graphics, computer vision, image and video processing, geometric computing, and machine learning is also within the journal''s scope. This is an open access journal, published quarterly by Tsinghua University Press and Springer. The open access fees (article-processing charges) are fully sponsored by Tsinghua University, China. Authors can publish in the journal without any additional charges.
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