CREA.blender: A GAN-based Casual Creator for Creativity Assessment

TY - GEN

T1 - CREA.blender: A GAN-based Casual Creator for Creativity Assessment

AU - Gajdacz, Miroslav

AU - Rafner, Janet Frances

AU - Langsford, Steven William

AU - Hjorth, Hermes Arthur

AU - Bergenholtz, Carsten

AU - Biskjaer, Michael Mose

AU - Noy, Lior

AU - Risi, Sebastian

AU - Sherson, Jacob

N1 - Conference code: 12

PY - 2021

Y1 - 2021

N2 - In this technical demonstration paper we document the use of a Generative Adversarial Network (GAN) based casual creator game for systematic assessment of hu- man creativity. We discuss some of the challenges in designing GAN-based casual creators, specifically fo- cusing on how to identify and select appropriate parts of the latent vector space - images, in our case.

AB - In this technical demonstration paper we document the use of a Generative Adversarial Network (GAN) based casual creator game for systematic assessment of hu- man creativity. We discuss some of the challenges in designing GAN-based casual creators, specifically fo- cusing on how to identify and select appropriate parts of the latent vector space - images, in our case.

UR - https://computationalcreativity.net/iccc21/

M3 - Article in proceedings

SP - 1

EP - 5

BT - Proceedings of the International Conference on Computational Creativity (ICCC ’21)

T2 - Twelfth International Conference on Computational Creativity (ICCC'21)

Y2 - 14 September 2021 through 18 September 2021

ER -