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Vector fluid

Ryoichi Ando, Reiji Tsuruno
2010 Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering - NPAR 10  
We present a simple technique for creating fluid silhouettes described with vector graphics, which we call "Vector Fluid."  ...  We explore specific examples in 2D for art oriented usage and show applications and robustness of our method to exhibit organic fluid components.  ...  Figure 9 : 9 Effects of Target-Driven Smoke Animation: When combined, our vector fluid can be used to design user specified stencil art with curly fluid textures.  ... 
doi:10.1145/1809939.1809954 dblp:conf/npar/AndoT10 fatcat:q3me4vb5nve33dh6kjdhsyeymq

Radial Basis Functions Vector Fields Interpolation for Complex Fluid Structure Interaction Problems

Corrado Groth, Stefano Porziani, Marco Evangelos Biancolini
2021 Fluids  
Radial basis functions interpolation, a powerful and precise meshless tool, is used in this work to combine the vector fields and propagate their effect to the full fluid domain of interest.  ...  A proper combination of embedded vector fields can be used to tackle steady and transient FSI problems by structural modes superposition, for the case of linear structures, or to impose a full non-linear  ...  A similar approach can be used for imposing to the fluid mesh the evolution of a non-linear structure, with the difference that, in this case, the incremental vector fields to move from a keyframe to the  ... 
doi:10.3390/fluids6090314 doaj:942ee142132f42c59225e646a481b447 fatcat:ndrc3h3zjzddtbjexc3zttt5x4

Geophysics-Based Fluid-Facies Predictions Using Ensemble Updating of Binary State Vectors

Margrethe Kvale Loe, Dario Grana, Håkon Tjelmeland
2021 Mathematical Geosciences  
is a vector of binary variables representing the fluid-facies and the observations are measurements of continuous geophysical properties, such as electrical or elastic properties.  ...  According to the results, the proposed inversion method is to a large extent able to reproduce the true underlying binary field of fluid-facies.  ...  To view a copy of this licence, visit by/4.0/. vector of fluid-facies at a certain time t i , i = 1, . . . , N t in a reservoir.  ... 
doi:10.1007/s11004-021-09922-4 fatcat:upcd4wsckbexvh7gxxpzdbknyq

Vector graphics depicting marbling flow

Ryoichi Ando, Reiji Tsuruno
2011 Computers & graphics  
We present an efficient framework for generating marbled textures that can be exported into a vector graphics format based on an explicit surface tracking method (see Figure 1 ).  ...  To forestall the propagation of large vertices, we adaptively resample the contours, exploiting the curvature and the turbulence of the fluid as criteria.  ...  Figure 18 : 18 Effects of target-driven vector graphics: When combined, our vector fluid can be used to design user-specified stencil art with curly, fluid textures.  ... 
doi:10.1016/j.cag.2010.11.002 fatcat:amy2d6eszfg4dfm4udncvtmmtu

Generative fluid profiles for interactive media arts projects

Angus Graeme Forbes, Tobias Höllerer, George Legrady
2013 Proceedings of the Symposium on Computational Aesthetics - CAE '13  
This paper presents a real-time, interactive fluid simulation and vector visualization technique that can be incorporated in media arts projects.  ...  a wide range of aesthetic possibilities that are easy to incorporate into media arts projects.  ...  Acknowledgements We thank our colleagues at the University of Arizona, Javier Villegas and Christopher Jette (both in the School of Information: Science, Technology, and Arts), and especially A. M.  ... 
doi:10.1145/2487276.2487287 dblp:conf/cae/ForbesHL13 fatcat:n4ekrzfrq5agpgjr2cyet6na3a

Deep Fluids: A Generative Network for Parameterized Fluid Simulations [article]

Byungsoo Kim, Vinicius C. Azevedo, Nils Thuerey, Theodore Kim, Markus Gross, Barbara Solenthaler
2019 arXiv   pre-print
This paper presents a novel generative model to synthesize fluid simulations from a set of reduced parameters.  ...  A convolutional neural network is trained on a collection of discrete, parameterizable fluid simulation velocity fields.  ...  The Deep Fluids CNN enhances the state of the art of reducedorder methods (ROMs) in four ways: efficient evaluation time, a natural non-linear representation for interpolation, data compression capability  ... 
arXiv:1806.02071v2 fatcat:gy64u5helrbjrlcwjyk3r44c3e

Learning Incompressible Fluid Dynamics from Scratch – Towards Fast, Differentiable Fluid Models that Generalize [article]

Nils Wandel, Michael Weinmann, Reinhard Klein
2021 arXiv   pre-print
We exploit this fact in a proof-of-concept optimal control experiment. Our models significantly outperform a recent differentiable fluid solver in terms of computational speed and accuracy.  ...  of the fluid simulation to traditional methods.  ...  Furthermore, we provide details of our discrete spatio-temporal fluid representation and introduce the fluid model.  ... 
arXiv:2006.08762v3 fatcat:6vfzottjgzdodjzx6l74mjcd5i

Fluid-based hatching for tone mapping in line illustrations

Afonso Paiva, Emilio Vital Brazil, Fabiano Petronetto, Mario Costa Sousa
2009 The Visual Computer  
This paper presents a novel meshless, physicallybased framework for line art rendering of surfaces with complex geometry and arbitrary topology.  ...  We demonstrate the simplicity and effectiveness of our method with sample renderings obtained for a variety of models.  ...  We propose a novel physically-based framework for line art rendering of surfaces with complex geometry and arbitrary topology inspired by a particle-based fluid simulation.  ... 
doi:10.1007/s00371-009-0322-8 fatcat:vv2yh22zqfh4laams2jeqylm6q

Basis enrichment and solid-fluid coupling for model-reduced fluid simulation

Dan Gerszewski, Ladislav Kavan, Peter-Pike Sloan, Adam W. Bargteil
2014 Computer Animation and Virtual Worlds  
We handle two-way solid-fluid coupling in a time-splitting fashion-we alternately timestep the fluid and rigid body simulators, while taking into account the effects of the fluid on the rigid bodies and  ...  We handle two-way solid-fluid coupling in a time-splitting fashionwe alternately timestep the fluid and rigid body simulators, while taking into account the effects of the fluid on the rigid bodies and  ...  This work was supported in part by a gift from Adobe Systems Incorporated and National Science Foundation Awards CNS-0855167, IIS-1249756, and IIS-1314896.  ... 
doi:10.1002/cav.1612 fatcat:grllhgzcj5cwhi4tn5ftb6m5xm

Data-driven fluid simulations using regression forests

L'ubor Ladický, SoHyeon Jeong, Barbara Solenthaler, Marc Pollefeys, Markus Gross
2015 ACM Transactions on Graphics  
Our GPU implementation led to a speed-up of one to three orders of magnitude compared to the state-of-the-art position-based fluid solver and runs in real-time for systems with up to 2 million particles  ...  In this paper we propose a novel machine learning based approach, that formulates physics-based fluid simulation as a regression problem, estimating the acceleration of every particle for each frame.  ...  A feature vector needs to Figure 2 : A general concept of machine learning approach applied to fluid dynamics.  ... 
doi:10.1145/2816795.2818129 fatcat:q7dlna22vrfbvdf5vn6ejwwh6u

Fluid fiction: Daniel Canty's transmedia odyssey

René Audet, Charles-Antoine Fugère
2018 Hybrid  
Canty's fictions displays a truly fluid character, each of their occurrences showing a displacement in space, as much as through its forms and meanings.  ...  This article examines the transmedia processes of literary fiction, especially the case of three artistic and literary explorations conducted by Patrick Beaulieu and Daniel Canty, all gathered in the book  ...  for a representation of the United States."  ... 
doi:10.4000/hybrid.418 fatcat:jpkisxadhzbq5e7dsj5qav7vme

Anisotropic de Gennes Narrowing in Confined Fluids

Kim Nygård, Johan Buitenhuis, Matias Kagias, Konstantins Jefimovs, Federico Zontone, Yuriy Chushkin
2016 Physical Review Letters  
These experimental observations are essential in order to develop a microscopic theoretical description of collective diffusion of dense fluids in confined geometries.  ...  The collective dynamics is wave vector dependent, akin to de Gennes narrowing typically observed in bulk fluids.  ...  State-of-the-art experiments [3] and simulations [4] have shown that packing constraints in confined geometries lead to position-dependent diffusion of dense fluids, thereby highlighting the close  ... 
doi:10.1103/physrevlett.116.167801 pmid:27152823 fatcat:63bb2n7iqrfqfbybsidx7mkcou

Higher Dimensional Vector Field Visualization: A Survey [article]

Zhenmin Peng, Robert S. Laramee
2009 Computer Graphics and Visual Computing  
There is growing consensus amongst the research community that the challenge of two-dimensional vector field visualization is virtually solved as a result of the tremendous amount of effort put into this  ...  This survey provides the most up-to-date review of the state-of-the-art of flow visualization in higher dimensions.  ...  gain a coherent representation of the vector field, integration-based geometric techniques are applied.  ... 
doi:10.2312/localchapterevents/tpcg/tpcg09/149-163 dblp:conf/tpcg/PengL09 fatcat:wiktpxrp2vhtjmxj2ntmirtcfq

Strategies for the visualization of multiple 2D vector fields

T. Urness, V. Interrante, E. Longmire, I. Marusic, S. O'Neill, T.W. Jones
2006 IEEE Computer Graphics and Applications  
physical structures of one vector field within the context of a related vector field.  ...  For this reason, we consider techniques for the multiple representation of 2D vector fields.  ...  Acknowledgments We thank Bharathram Ganapathisubramani for the collection of the dual plane PIV data, Robert Moser for  ... 
doi:10.1109/mcg.2006.88 pmid:16863100 fatcat:abo7itvsdffznc7t5rrezuio7y

Hierarchical diffusion curves for accurate automatic image vectorization

Guofu Xie, Xin Sun, Xin Tong, Derek Nowrouzezahrai
2014 ACM Transactions on Graphics  
We observe this behavior in both natural images and computer synthesized imagery resulting e.g. from a turbulent fluid simulation.  ...  We formulate image vectorization as a Laplacian (and/or bilaplacian) reconstruction problem, and seek to fit sparse and connected curves to directly approximate the image Laplacian/bilaplacian.  ...  This work was completed while Guofu Xie was a Post-Doc at the University of Montreal.  ... 
doi:10.1145/2661229.2661275 fatcat:lknq4cwpwbhvdo6k456nkg2thq
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