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realFlow SIGNED

Virtualization of Real Flows for Animation and Simulation

Total Cost €

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EC-Contrib. €

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Partnership

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 realFlow project word cloud

Explore the words cloud of the realFlow project. It provides you a very rough idea of what is the project "realFlow" about.

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Project "realFlow" data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITAET MUENCHEN 

Organization address
address: Arcisstrasse 21
city: MUENCHEN
postcode: 80333
website: www.tu-muenchen.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Project website http://wwwcg.in.tum.de/research/ercstg-realflow.html
 Total cost 1˙465˙603 €
 EC max contribution 1˙465˙603 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-STG
 Funding Scheme ERC-STG
 Starting year 2015
 Duration (year-month-day) from 2015-05-01   to  2020-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITAET MUENCHEN DE (MUENCHEN) coordinator 1˙465˙603.00

Map

 Project objective

Besides their application in a very broad range of engineering disciplines, physically-based simulations have become a prevalent tool for all forms of computer-generated environments. Simulations of fluids are a particularly important area that has applications ranging from the design of aerodynamic bodies to the realization of impressive visual effects in movies. However, despite their extremely wide-spread use there are fundamental problems: a lack of practical flow capturing technologies and the inherent difficulties of resolving crucial features such as turbulence. These issues are show-stoppers preventing the area from realizing its full potential for animations and interactive environments.

The goal of this research is to address these central problems: 1) by designing novel data-centric approaches for fluid simulations to enable re-use, and 2) by establishing an innovative pipeline for capturing flow motions yielding details that were previously unachievable. To this end, I plan to design algorithms that tightly integrate accurate physics solvers with methods for the reconstruction of motion from volumetric images. At the same time, I will work on novel structured representations that decompose complex flows into hierarchical space-time structures. These structured virtual counter-parts will not only enable powerful avenues for intuitive editing, but will also serve as a basis for robust and efficient data-driven fluid simulations. This virtualization of flows opens the door for interactive design tools and medical applications, allowing to incorporate complex physical constraints. In addition, this research could radically change the way we work with synthetic and captured flow data, and has significant potential to break new ground in terms of data-centric work-flows for fluid simulations.

 Publications

year authors and title journal last update
List of publications.
2019 Maximilian Werhahn, You Xie, Mengyu Chu, Nils Thuerey
A Multi-Pass GAN for Fluid Flow Super-Resolution
published pages: 1-21, ISSN: 2577-6193, DOI: 10.1145/3340251
Proceedings of the ACM on Computer Graphics and Interactive Techniques 2/2 2019-12-16
2019 S. Wiewel, M. Becher, N. Thuerey
Latent Space Physics: Towards Learning the Temporal Evolution of Fluid Flow
published pages: 71-82, ISSN: 0167-7055, DOI: 10.1111/cgf.13620
Computer Graphics Forum 38/2 2019-12-16
2017 T. Inglis, M.-L. Eckert, J. Gregson, N. Thuerey
Primal-Dual Optimization for Fluids
published pages: 354-368, ISSN: 0167-7055, DOI: 10.1111/cgf.13084
Computer Graphics Forum 36/8 2019-12-16
2018 M.-L. Eckert, W. Heidrich, N. Thuerey
Coupled Fluid Density and Motion from Single Views
published pages: 47-58, ISSN: 0167-7055, DOI: 10.1111/cgf.13511
Computer Graphics Forum 37/8 2019-12-16
2018 Kiwon Um, Xiangyu Hu, Nils Thuerey
Liquid Splash Modeling with Neural Networks
published pages: 171-182, ISSN: 0167-7055, DOI: 10.1111/cgf.13522
Computer Graphics Forum 37/8 2019-12-16
2016 Aron Monszpart, Nils Thuerey, Niloy J. Mitra
SMASH
published pages: 1-14, ISSN: 0730-0301, DOI: 10.1145/2980179.2982421
ACM Transactions on Graphics 35/6 2019-05-27
2017 Dan Koschier, Jan Bender, Nils Thuerey
Robust eXtended finite elements for complex cutting of deformables
published pages: 1-13, ISSN: 0730-0301, DOI: 10.1145/3072959.3073666
ACM Transactions on Graphics 36/4 2019-05-27
2016 Nils Thuerey
Interpolations of Smoke and Liquid Simulations
published pages: 1-16, ISSN: 0730-0301, DOI: 10.1145/2956233
ACM Transactions on Graphics 36/1 2019-05-27
2017 Kiwon Um, Xiangyu Hu, Nils Thuerey
Perceptual evaluation of liquid simulation methods
published pages: 1-12, ISSN: 0730-0301, DOI: 10.1145/3072959.3073633
ACM Transactions on Graphics 36/4 2019-05-27
2015 Ryoichi Ando, Nils Thuerey, Chris Wojtan
A stream function solver for liquid simulations
published pages: 53:1-53:9, ISSN: 0730-0301, DOI: 10.1145/2766935
ACM Transactions on Graphics 34/4 2019-05-27
2016 Ben Jones, Nils Thuerey, Tamar Shinar, Adam W. Bargteil
Example-based plastic deformation of rigid bodies
published pages: 1-11, ISSN: 0730-0301, DOI: 10.1145/2897824.2925979
ACM Transactions on Graphics 35/4 2019-05-27
2016 Florian Ferstl, Ryoichi Ando, Chris Wojtan, Rüdiger Westermann, Nils Thuerey
Narrow Band FLIP for Liquid Simulations
published pages: 225-232, ISSN: 0167-7055, DOI: 10.1111/cgf.12825
Computer Graphics Forum 35/2 2019-05-27
2016 José A. Canabal, David Miraut, Nils Thuerey, Theodore Kim, Javier Portilla, Miguel A. Otaduy
Dispersion kernels for water wave simulation
published pages: 1-10, ISSN: 0730-0301, DOI: 10.1145/2980179.2982415
ACM Transactions on Graphics 35/6 2019-05-27
2017 Mengyu Chu, Nils Thuerey
Data-driven synthesis of smoke flows with CNN-based feature descriptors
published pages: 1-14, ISSN: 0730-0301, DOI: 10.1145/3072959.3073643
ACM Transactions on Graphics 36/4 2019-05-27

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