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Deep Fluids: A Generative Network for Parameterized Fluid Simulations

Deep Fluids: A Generative Network for Parameterized Fluid Simulations

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2236159740

Deep Fluids: A Generative Network for Parameterized Fluid Simulations

About this item

Full title

Deep Fluids: A Generative Network for Parameterized Fluid Simulations

Publisher

Oxford: Blackwell Publishing Ltd

Journal title

Computer graphics forum, 2019-05, Vol.38 (2), p.59-70

Language

English

Formats

Publication information

Publisher

Oxford: Blackwell Publishing Ltd

More information

Scope and Contents

Contents

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. Due to the capability of deep learning architectures to learn representative features of the data, our generative mode...

Alternative Titles

Full title

Deep Fluids: A Generative Network for Parameterized Fluid Simulations

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2236159740

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2236159740

Other Identifiers

ISSN

0167-7055

E-ISSN

1467-8659

DOI

10.1111/cgf.13619

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