Article

Taming liquids for rapidly changing targets

Authors:

Yizhou YuAuthors Info & Claims

SCA '05: Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation

July 2005

Pages 229 - 236

https://doi.org/10.1145/1073368.1073401

Published: 29 July 2005 Publication History

Abstract

Following rapidly changing target objects is a challenging problem in fluid control, especially when the natural fluid motion should be preserved. The fluid should be responsive to the changing configuration of the target and, at the same time, its motion should not be overconstrained. In this paper, we introduce an efficient and effective solution by applying two different external force fields. The first one is a feedback force field which compensates for discrepancies in both shape and velocity. Its shape component is designed to be divergence free so that it can survive the velocity projection step. The second one is the gradient field of a potential function defined by the shape and skeletion of the target object. Our experiments indicate a mixture of these two force fields can achieve desirable and pleasing effects.

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Cited By

Chen YLevin DLanglois T(2024)Fluid Control with Laplacian EigenfunctionsACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657468(1-11)Online publication date: 13-Jul-2024
https://dl.acm.org/doi/10.1145/3641519.3657468
Chu KHuang JTakana HKitamura Y(2023)Real-Time Reconstruction of Fluid Flow under Unknown DisturbanceACM Transactions on Graphics10.1145/362401143:1(1-14)Online publication date: 17-Oct-2023
https://dl.acm.org/doi/10.1145/3624011
Tang JKim BAzevedo VSolenthaler B(2023)Physics‐Informed Neural Corrector for Deformation‐based Fluid ControlComputer Graphics Forum10.1111/cgf.1475142:2(161-173)Online publication date: 23-May-2023
https://doi.org/10.1111/cgf.14751
Show More Cited By

Index Terms

Taming liquids for rapidly changing targets
1. Computing methodologies
2. Theory of computation
  1. Randomness, geometry and discrete structures
    1. Computational geometry

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Published In

cover image ACM Conferences

SCA '05: Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation

July 2005

366 pages

ISBN:1595931988

DOI:10.1145/1073368

Conference Chairs:
Demetri Terzopoulos
New York University, USA
,
Victor Brian Zordan
University of California at Riverside, USA
,
Program Chairs:
Ken Anjyo
OLM Digital, Inc., Japan
,
Petros Faloutsos
University of California at Los Angeles, USA

Copyright © 2005 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
EUROGRAPHICS: The European Association for Computer Graphics

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 July 2005

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SCA05

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SIGGRAPH
EUROGRAPHICS

SCA05: Symposium on Computer Animation

July 29 - 31, 2005

California, Los Angeles

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Overall Acceptance Rate 183 of 487 submissions, 38%

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SCA '24

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The ACM SIGGRAPH / Eurographics Symposium on Computer Animation

August 21 - 23, 2024

Montreal , QC , Canada

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Cited By

Chen YLevin DLanglois T(2024)Fluid Control with Laplacian EigenfunctionsACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657468(1-11)Online publication date: 13-Jul-2024
https://dl.acm.org/doi/10.1145/3641519.3657468
Chu KHuang JTakana HKitamura Y(2023)Real-Time Reconstruction of Fluid Flow under Unknown DisturbanceACM Transactions on Graphics10.1145/362401143:1(1-14)Online publication date: 17-Oct-2023
https://dl.acm.org/doi/10.1145/3624011
Tang JKim BAzevedo VSolenthaler B(2023)Physics‐Informed Neural Corrector for Deformation‐based Fluid ControlComputer Graphics Forum10.1111/cgf.1475142:2(161-173)Online publication date: 23-May-2023
https://doi.org/10.1111/cgf.14751
Flynn SHart DMorse BHolladay SEgbert P(2021)Generalized fluid carving with fast lattice-guided seam computationACM Transactions on Graphics10.1145/3478513.348054440:6(1-15)Online publication date: 10-Dec-2021
https://dl.acm.org/doi/10.1145/3478513.3480544
Chu MThuerey NSeidel HTheobalt CZayer R(2021)Learning meaningful controls for fluidsACM Transactions on Graphics10.1145/3450626.345984540:4(1-13)Online publication date: 19-Jul-2021
https://dl.acm.org/doi/10.1145/3450626.3459845
Tang JC. Azevedo VCordonnier GSolenthaler B(2021)Honey, I Shrunk the Domain: Frequency‐aware Force Field Reduction for Efficient Fluids OptimizationComputer Graphics Forum10.1111/cgf.14263740:2(339-353)Online publication date: 4-Jun-2021
https://doi.org/10.1111/cgf.142637
Choi MWi JKim TKim YKim C(2021)Learning Representation of Secondary Effects for Fire-Flake AnimationIEEE Access10.1109/ACCESS.2021.30540619(17620-17630)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3054061
Forootaninia ZNarain R(2020)Frequency-domain smoke guidingACM Transactions on Graphics10.1145/3414685.341784239:6(1-10)Online publication date: 27-Nov-2020
https://dl.acm.org/doi/10.1145/3414685.3417842
Schoentgen APoulin PDarles EMeseure PLevin DKry P(2020)Particle-based liquid control using animation templatesProceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation10.1111/cgf.14103(1-10)Online publication date: 6-Oct-2020
https://dl.acm.org/doi/10.1111/cgf.14103
Zhang ZZhang YLi YLiang X(2020)Cumuliform Cloud Animation Control Based on Natural Images2020 International Conference on Virtual Reality and Visualization (ICVRV)10.1109/ICVRV51359.2020.00052(218-224)Online publication date: Nov-2020
https://doi.org/10.1109/ICVRV51359.2020.00052
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