Generative Visuals

Generative Visuals is a computational method in the domain of audio-visual performance that autonomously produces dynamic visual content through algorithmic processes governed by predefined rules, mathematical models, or data-driven systems, distinguishing it from manual or pre-rendered visual techniques.

3

Publications

101

Citations

9

Authors

6

Institutions

Publications per year

2017–2026

2

Authors

9

  1. VC
    Vinay Chamola

    Birla Institute of Technology and Science, Pilani, India

    1 publications · 71 citations

    1

    h-index

  2. NH
    Norbert Herencsár

    Brno University of Technology, Czechia

    1 publications · 71 citations

    1

    h-index

  3. UK
    Uroš Krčadinac

    University of Belgrade, Serbia

    1 publications · 13 citations

    1

    h-index

  4. PP
    Philippe Pasquier

    Simon Fraser University, Canada

    1 publications · 13 citations

    1

    h-index

  5. GB
    Gaurang Bansal

    Birla Institute of Technology and Science, Pilani, India

    1 publications · 71 citations

    1

    h-index

1–5 of 9

Venues

  1. IEEE Transactions on Human-Machine Systems

    1 publications · 13 citations

    1

    h-index

  2. Optics Express

    1 publications · 17 citations

    1

    h-index

  3. 1

    h-index

1–3