Synthesizing Large‐Scale Fluid Simulations with Surface and Wave Foams via Sharp Wave Pattern and Cloudy Foam

Kim, Jong‐Hyun; Lee, Jung

doi:10.1002/cav.1984

Cited by 5 publications

(17 citation statements)

References 39 publications

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“…An in-house solution is essential because splash, foam, and bubble particles must be advected based on the underlying particle simulation. These techniques focus on creating natural splashes based on impact, motion flowing along with underlying water [59], [61], [62], and foam patterns [60] rather than surface details such as liquid sheets. However, these and our goals are different, but adding secondary effects to our method of improving the visual quality of water surfaces can be used in large-scale fluids scenes as well.…”

Section: Comparison Between Our Methods and Previous Approachesmentioning

confidence: 99%

Post-Processing Framework for Enhancing Liquid Surfaces in VFX Pipeline

Kim

Im²,

jung

2021

IEEE Access

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Physically-based simulation is being expanded to simulate various materials such as deformable bodies, sand, and lava as well as liquid, and has been widely used as plug-in and software in actual related industries. Contrary to this trend, however, most of the simulation software products are built as an in-house solution, making it difficult for users to add new features not provided by the software. In this paper, we propose a post-processing framework that can improve the visual quality of liquid surfaces by receiving only the positions of liquid particles created in the existing simulation tools. Our framework includes the following methods: 1) analyzing liquid flow from particle position, 2) sampling technique for creating liquid sheets. Our framework improves the detail of liquid surfaces by temporarily adding new liquid particles through sampling of particles from existing simulation techniques. Our technique does not depend on any particular simulation tool. Experiments with various scenarios have also shown that liquid sheet detail, which was difficult to express in traditional software, has been improved, and problems such as break-up fluid surfaces and noisy surfaces have been mitigated. In addition, our research is a post-processing framework that uses only particle position as input data, making it easy to integrate with existing simulation tools that provide particle position.

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Section: Comparison Between Our Methods and Previous Approachesmentioning

confidence: 99%

Post-Processing Framework for Enhancing Liquid Surfaces in VFX Pipeline

Kim

Im²,

jung

2021

IEEE Access

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“…물리 기반 유체 시뮬레이션은 물 [1,2], 불 [3,4,5], 연기 [6,7,8], 불똥 [9,10,11], 거품 [12,13], 버블 [14,15], 미스트 [16,17 [22,23].…”

Section: 서론unclassified

“…최근에 Kim 등은 2D와 3D 공간을 모두 사용하여 거품의 효 율성과 품질을 개선시켰다 [22,23]. Figure 1에서 Figure 2: An aliasing problem that occurred in the process of projecting 3D particles into 2D space (red : faster accelerating).…”

Section: 서론unclassified

“…Figure3: The filtering technique used in the previous methods[22,23] (red box : noise area).본 논문에서는 인공신경망 기반의 투영맵 정제 기술을 제안 하여 소실 없이 거품을 표현할 수 있는 프레임워크를 제안한 다. 제안하는 기법을 구현하기 위해서는 입력 유체의 움직임 으로부터 다음과 같은 하위 문제를 풀어야 한다: 1.…”

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Refinement of Projection Map Based on Artificial Neural Networks to Represent Noise-Reduced Foam Effects

Kim¹

2021

J Korea Comput Graph Soc

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In this paper, we propose an artificial neural network framework that can represent the foam effects expressed in liquid simulation in detail without noise. The position and advection of foam particles are calculated using the existing screen projection method, and the noise problem that appears in this process is solved through an proposed artificial neural network. The important thing in the screen projection approach is the projection map, but noise occurs in the projection map in the process of projecting momentum into the discretized screen space, and we efficiently solve this problem by using an artificial neural network-based denoising network. When the foam generating area is selected through the projection map, 2D is inversely transformed into 3D space to generate foam particles. We solve the existing denoising network problem in which small-scaled foam particles disappear. In addition, by integrating the proposed algorithm with the screen-space projection framework, all the advantages of this approach can be accommodated. As a result, it shows through various experiments whether it is possible to stably represent not only the clean foam effects but also the foam particles lost due to the denoising process.

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“…If surface tension is not taken into account and pressure changes on the air side of the free surface caused by changes in the liquid level are also ignored, then dynamic boundary conditions on the free surface can be expressed as follows [18]:…”

Section: Boundary Conditionsmentioning

confidence: 99%

Computer Simulation of Water Flow Animation Based on Two-Dimensional Navier-Stokes Equations

Cao

2021

Advances in Mathematical Physics

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Simulation of water flow animation is a significant and challenging subject in computer graphics. With the continuous development of computational fluid dynamics and computer graphics, many more effective simulation methods have been developed, and fluid animation simulation has developed rapidly. In order to obtain realistic flow animation, one of the key aspects is to simulate flow motion. Based on the two-dimensional Navier-Stokes equations, a mathematical model is established to solve the boundary conditions required by the physical flow field of water. The coordinate transformation formula is introduced to transform the irregular physical area into a regular square calculation area, and then, the specific expressions of the liberalized Navier-Stokes equation, continuity equation, pressure Poisson equation, and dimensionless boundary conditions are given. Using animation software to sequence graphics and images of all kinds of control and direct operation of the relevant instructions, through the computer technology to simulate the flow of animation, based on the stability of fluid simulation method and simulation efficiency, so as to make realistic flow animation. The results show that FluidsNet has considerable performance in accelerating large scene animation simulation on the basis of ensuring the rationality of prediction, and the motion of water wave is realistic. The application of computer successfully simulates water flow.

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Synthesizing Large‐Scale Fluid Simulations with Surface and Wave Foams via Sharp Wave Pattern and Cloudy Foam

Cited by 5 publications

References 39 publications

Post-Processing Framework for Enhancing Liquid Surfaces in VFX Pipeline

Post-Processing Framework for Enhancing Liquid Surfaces in VFX Pipeline

Refinement of Projection Map Based on Artificial Neural Networks to Represent Noise-Reduced Foam Effects

Computer Simulation of Water Flow Animation Based on Two-Dimensional Navier-Stokes Equations

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