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      Synthesis of Abstract Dynamic Quasiperiodic 3D Forms using SIRENs

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      proceedings-article
      Author(s):
      Publication date (Print):
      Conference name: Proceedings of EVA London 2022 (EVA 2022)
      Conference theme: Use of new and emerging technologies in Digital Art, Data, Scientific and Creative Visualisation, Digitally Enhanced Reality and Everyware, 2D and 3D Imaging, Display and Printing, Mobile Applications, Museums and Collections, Music, Performing arts, and Technologies, Open Source and Technologies, Preservation of Digital Visual Culture, Virtual Cultural Heritage, Ethical Issues, Historical Issues, Digital Culture, Artificial Intelligence, NFTs
      Conference date: 4–8 July 2022
      Keywords: Synthesis of 3D structures, Implicit neural representations, Digital art, Generative art
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            Abstract

            This paper explores using SIRENs, neural networks with periodic activation functions, as a means for synthesising abstract three-dimensional dynamic forms. A SIREN is used to generate a field function for an implicit surface, with inputs for 3D position and time. A wide range of complex quasiperiodic forms can be created, with synthesis and rendering being achievable at interactive rates using modern graphics hardware.

            Content

            Author and article information

            Contributors
            Andy Lomas
            Conference
            Publication date: July 2022
            Publication date (Print): July 2022
            Pages: 08-12
            Affiliations
            [0001]Goldsmiths, University of London

            London SE14 6NW, UK
            Article
            DOI: 10.14236/ewic/EVA2022.2
            SO-VID: 0c8a0850-2a1b-42af-b616-f1f299cd7426
            Copyright © © Lomas. Published by BCS Learning & Development Ltd. Proceedings of EVA London 2022, UK
            License:

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Conference name: Proceedings of EVA London 2022
            Conference acronym: EVA 2022
            Conference number:
            Conference location: London
            Conference date: 4–8 July 2022
            Conference sponsor: Electronic Workshops in Computing (eWiC)
            Conference theme: Use of new and emerging technologies in Digital Art, Data, Scientific and Creative Visualisation, Digitally Enhanced Reality and Everyware, 2D and 3D Imaging, Display and Printing, Mobile Applications, Museums and Collections, Music, Performing arts, and Technologies, Open Source and Technologies, Preservation of Digital Visual Culture, Virtual Cultural Heritage, Ethical Issues, Historical Issues, Digital Culture, Artificial Intelligence, NFTs
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2022.2
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Series title: Electronic Workshops in Computing

            ScienceOpen disciplines: Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Keywords: Synthesis of 3D structures,Implicit neural representations,Digital art,Generative art

            REFERENCES

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            5. (2022a). Siren Transitions. [online video] Available at: https://www.youtube.com/watch?v=_IbN_9t8ixk (retrieved 8 January 2022)

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            7. and (1987). Marching cubes: A high resolution 3D surface construction algorithm. ACM SIGGRAPH computer graphics, 21(4), pp.163-169.

            8. and (2003). Signed distance functions. In Level set methods and dynamic implicit surfaces (pp. 17-22). Springer, New York, NY.

            9. and (2010). OptiX: a general purpose ray tracing engine. ACM transactions on graphics (tog), 29(4), pp.1-13.

            10. Phase Modulation (2022). In Wikipedia. https://en.wikipedia.org/wiki/Phase_modulation (retrieved 21 February 2022)

            11. and (2020). Implicit neural representations with periodic activation functions. arXiv preprint arXiv:2006.09661.

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