SPH Fluids in Computer Graphics

Ihmsen, Markus; Orthmann, Jens; Solenthaler, Barbara; Kolb, Andreas; Teschner, Matthias

doi:10.2312/egst.20141034

Cited by 47 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides the ability to properly simulate fluid behavior based on smoothed particles, work has been developed to deliver proper rendering Orthmann et al 2013;Xiao et al 2017] and to achieve real-time simulation results using the computational power of modern GPUs [da Silva et al 2010;Mokos et al 2015;Tafuni et al 2018;Xia and Liang 2016]. A general survey on SPH based fluid simulation can be found in the state-of-the-art report of Ihmsen et al [Ihmsen et al 2014].…”

Section: Related Workmentioning

confidence: 99%

Towards Animating Virtual Humans in Flooded Environments

Schaffer

Antonitsch

Neto

et al. 2020

Motion, Interaction and Games

View full text Add to dashboard Cite

show abstract

Section: Related Workmentioning

confidence: 99%

Towards Animating Virtual Humans in Flooded Environments

Schaffer

Antonitsch

Neto

et al. 2020

Motion, Interaction and Games

View full text Add to dashboard Cite

show abstract

“…For many VFX applications, guiding and control [Nielsen et al 2009;Pan and Manocha 2017;Shi and Yu 2005] are highly important. In addition, the material point method has become a popular alternative for complex, fluid-like materials [Jiang et al 2016;Stomakhin et al 2013;Tampubolon et al 2017], while the class of smoothed particle hydrodynamics methods represent purely Lagrangian variants [Ihmsen et al 2014]. Additionally, vortex filaments [Angelidis et al 2006;Weißmann and Pinkall 2010] are a popular Lagrangian representation for volumetric flows.…”

Section: Related Workmentioning

confidence: 99%

ScalarFlow

Eckert

Thuerey

2019

ACM Trans. Graph.

View full text Add to dashboard Cite

Fig. 1. An example sequence of our ScalarFlow data set. Four frames of our data set are re-rendered as thick smoke. Insets of the corresponding frames of one of the captured video streams, i.e. the real-world reference, are shown in the lower left corners. In this paper, we present ScalarFlow, a first large-scale data set of reconstructions of real-world smoke plumes. In addition, we propose a framework for accurate physics-based reconstructions from a small number of video streams. Central components of our framework are a novel estimation of unseen inflow regions and an efficient optimization scheme constrained by a simulation to capture real-world fluids. Our data set includes a large number of complex natural buoyancy-driven flows. The flows transition to turbulence and contain observable scalar transport processes. As such, the ScalarFlow data set is tailored towards computer graphics, vision, and learning applications. The published data set contains volumetric reconstructions of velocity and density as well as the corresponding input image sequences with calibration data, code, and instructions how to reproduce the commodity hardware capture setup. We further demonstrate one of the many potential applications: a first perceptual evaluation study, which reveals that the complexity of the reconstructed flows would require large simulation resolutions for regular solvers in order to recreate at least parts of the natural complexity contained in the captured data.

show abstract

“…We have not yet included these hybrid approaches in our studies, although FLIP arguably represents a hybrid particle-grid method. For a thorough overview of popular uid simulations methods, refer to the book by Bridson (2015) and state-of-the-art report by Ihmsen et al (2014b).…”

Section: Related Workmentioning

confidence: 99%

Perceptual evaluation of liquid simulation methods

Thuerey

2017

ACM Trans. Graph.

View full text Add to dashboard Cite

This paper proposes a novel framework to evaluate fluid simulation methods based on crowd-sourced user studies in order to robustly gather large numbers of opinions. The key idea for a robust and reliable evaluation is to use a reference video from a carefully selected real-world setup in the user study. By conducting a series of controlled user studies and comparing their evaluation results, we observe various factors that affect the perceptual evaluation. Our data show that the availability of a reference video makes the evaluation consistent. We introduce this approach for computing scores of simulation methods as visual accuracy metric. As an application of the proposed framework, a variety of popular simulation methods are evaluated.

show abstract

SPH Fluids in Computer Graphics

Cited by 47 publications

References 0 publications

Towards Animating Virtual Humans in Flooded Environments

Towards Animating Virtual Humans in Flooded Environments

ScalarFlow

Perceptual evaluation of liquid simulation methods

Contact Info

Product

Resources

About