Interpolating GANs to scaffold autotelic creativity

Ziv Epstein*, Océane Boulais, Skylar Gordon, Matt Groh

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


The latent space modeled by generative adversarial networks (GANs) represents a large possibility space. By interpolating categories generated by GANs, it is possible to create novel hybrid images. We present “Meet the Ganimals," a casual creator built on interpolations of BigGAN that can generate novel, hybrid animals called ganimals by efficiently searching this possibility space. Like traditional casual creators, the system supports a simple creative flow that encourages rapid exploration of the possibility space. Users can discover new ganimals, create their own, and share their reactions to aesthetic, emotional, and morphological characteristics of the ganimals. As users provide input to the system, the system adapts and changes the distribution of categories upon which ganimals are generated. As one of the first GAN-based casual creators, Meet the Ganimals is an example how casual creators can leverage human curation and citizen science to discover novel artifacts within a large possibility space.

Original languageEnglish (US)
JournalCEUR Workshop Proceedings
StatePublished - 2020
EventJoint Workshops of the 11th International Conference on Computational Creativity, ICCC-WS 2020 - Virtual, Coimbra, Portugal
Duration: Sep 7 2020Sep 11 2020


  • Artificial intelligence
  • Citizen science
  • Computational creativity
  • GANs

ASJC Scopus subject areas

  • General Computer Science


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