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Target‐driven cloud evolution using position‐based fluids.

Zhang, Zili and Li, Yunfei and Yang, Bailin and Li, Frederick W. B. and Liang, Xiaohui (2020) 'Target‐driven cloud evolution using position‐based fluids.', Computer animation and virtual worlds., 31 (6).


To effectively control particle‐based cloud evolution without imposing strict position constraints, we propose a novel method integrating a control force field and a phase transition control into the position‐based fluids (PBF) framework. To produce realistic cloud simulation, we incorporate both fluid dynamics and thermodynamics to govern cloud particle movement. The fluid dynamics is simulated through our novel driving and damping force terms. As these terms are only formulated based on cloud particle density and position, they simplify the inputs and make our method free from artificial positional constraints. The thermodynamics is implemented by our phase transition control, which can effectively simulate cloud evolution between discrepant initial and target shapes, producing plausible results. Uniquely, our method can also support target shape change during cloud simulation. Experiment results have demonstrated our method surpasses existing methods.

Item Type:Article
Full text:(AM) Accepted Manuscript
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Publisher statement:This is the peer reviewed version of the following article:Zhang, Zili, Li, Yunfei, Yang, Bailin, Li, Frederick W. B. & Liang, Xiaohui (2020). Target‐driven cloud evolution using position‐based fluids. Computer Animation and Virtual Worlds 31(6)., which has been published in final form at This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Date accepted:08 June 2020
Date deposited:08 October 2020
Date of first online publication:06 September 2020
Date first made open access:06 September 2021

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