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Three stage drawing transfer: collaborative drawing between a generative adversarial network, co-robotic arm, and five-year-old child

Published:25 July 2022Publication History

ABSTRACT

Three Stage Drawing Transfer is an experimental human-robot performance and emerging media arts research project exploring drawing, cognition, and new possibilities for creative, embodied interactions between humans and machines. The work creates a visual-mental-physical circuit between a Generative Adversarial Network (GAN), a co-robotic arm, and a five-year-old child. Building on traditions from experimental performance and collaborative drawing, it extends these with the emergent capabilities of generative neural networks and robotic automation. The live child-robot interaction occurs within the space of a shared sheet of paper, where they together develop a collaborative drawing guided by the GAN's understanding and the child's imagination, resulting in a drawing as artifact and video as documentation.

References

  1. Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila. 2020. Analyzing and Improving the Image Quality of StyleGAN. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Google ScholarGoogle ScholarCross RefCross Ref
  2. Rhoda Kellogg. 1969. Analyzing children's art. National Press Books, Palo Alto, Calif.Google ScholarGoogle Scholar
  3. Dennis Oppenheim. 1971. 2-Stage Transfer Drawing. Retrieved January 21, 2022 from https://www.dennisaoppenheim.org/copy-of-new-pageGoogle ScholarGoogle Scholar

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  • Published in

    cover image ACM Conferences
    SIGGRAPH '22: ACM SIGGRAPH 2022 Art Gallery
    July 2022
    24 pages
    ISBN:9781450393720
    DOI:10.1145/3532837

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 25 July 2022

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