Particle‐based Liquid Control using Animation Templates

Schoentgen, Arnaud; Poulin, Pierre; Darles, Emmanuelle; Meseure, Philippe

doi:10.1111/cgf.14103

Cited by 6 publications

(5 citation statements)

References 38 publications

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“…Our method is primarily compared to two existing techniques for fluid control: Position-based fluid control (PBFC) 1 and Particle-based Liquid Control using Animation Templates (LCAT). 3 The CPU is INTEL i7-9700 with 16GB of RAM. Our code is implemented on the open-source library SPlishSPlasH.…”

Section: Resultsmentioning

confidence: 99%

“…We perform the simulation of the same scene multiple times using different constraint parameters, constraint modes, and number of fluid particles. Our method is primarily compared to two existing techniques for fluid control: Position‐based fluid control (PBFC) 1 and Particle‐based Liquid Control using Animation Templates (LCAT) 3 . The CPU is INTEL i7‐9700 with 16GB of RAM.…”

Section: Resultsmentioning

confidence: 99%

“…Lu et al 2 also proposed to drive the movement of fluid more intuitively by means of rigging movement and fluid skin. Schoentgen et al 3 proposed that different driving templates should be prefabricated to make it easier for artists to achieve the desired effect.…”

Section: Related Workmentioning

confidence: 99%

“…This method is effective, but the flow characteristics tend to be lost due to the dense sampling of control particles and the excessive control constraints. Schoentgen et al 3 proposed to make it easier for artists to achieve their desired effect by using precomputed templates. However, such an expected effect can only be limited to the existing templates, and the preparation is very time‐consuming.…”

Section: Introductionmentioning

confidence: 99%

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Efficient and high precision target‐driven fluid simulation based on spatial geometry features

Zhou,

Liu,

Zeng

et al. 2023

Computer Animation & Virtual

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SummaryWe proposed a novel target‐driven fluid simulation method based on the weighted control model derived from the spatial geometric features of the target shape. First, the spatial geometric characteristics of the target model are taken into account to set the color field weights of control particles. This enabled the full expression of geometric characteristics of the target model, and improve the shape accuracy of controlled fluid. Then, the fluid is controlled to form the target shape under driving constraints, wherein we proposed a new adaptive constraint mechanism that enables efficient target shape generation. Finally, a new density constraint between the control particles and the controlled fluid particles is proposed to ensure the incompressibility of fluid during control. Compared to the state‐of‐the‐art target‐driven fluid control methods, our method achieves higher precision fluid control with higher efficiency.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Efficient and high precision target‐driven fluid simulation based on spatial geometry features

Zhou,

Liu,

Zeng

et al. 2023

Computer Animation & Virtual

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“…Although there is high‐demand from industry, work on artist control still seems to be niche and so far only a few SPH‐specific papers have been published, e.g. , [ZYWL15,LCY*19,SPDM20].…”

Section: Discussionmentioning

confidence: 99%

A Survey on SPH Methods in Computer Graphics

Koschier¹,

Bender

Solenthaler

et al. 2022

Computer Graphics Forum

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Throughout the past decades, the graphics community has spent major resources on the research and development of physics simulators on the mission to computer-generate behaviors achieving outstanding visual effects or to make the virtual world indistinguishable from reality. The variety and impact of recent research based on Smoothed Particle Hydrodynamics (SPH) demonstrates the concept's importance as one of the most versatile tools for the simulation of fluids and solids. With this survey, we offer an overview of the developments and still-active research on physics simulation methodologies based on SPH that has not been addressed in previous SPH surveys. Following an introduction about typical SPH discretization techniques, we provide an overview over the most used incompressibility solvers and present novel insights regarding their relation and conditional equivalence. The survey further covers recent advances in implicit and particle-based boundary handling and sampling techniques. While SPH is best known in the context of fluid simulation we discuss modern concepts to augment the range of simulatable physical characteristics including turbulence, highly viscous matter, deformable solids, as well as rigid body contact handling. Besides the purely numerical approaches, simulation techniques aided by machine learning are on the rise. Thus, the survey discusses recent data-driven approaches and the impact of differentiable solvers on artist control. Finally, we provide context for discussion by outlining existing problems and opportunities to open up new research directions.

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

Wang,

Xu,

Liu

et al. 2024

Comp. Visual Media

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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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Particle‐based Liquid Control using Animation Templates

Cited by 6 publications

References 38 publications

Efficient and high precision target‐driven fluid simulation based on spatial geometry features

Efficient and high precision target‐driven fluid simulation based on spatial geometry features

A Survey on SPH Methods in Computer Graphics

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

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