TY - GEN
T1 - Towards a Principled Evaluation of Likeability for Machine-Generated Art
AU - Coleman, Lia
AU - Achlioptas, Panos
AU - Elhoseiny, Mohamed
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: We want to thank the artists who helped us with our research: Brooke Cheng, Dwayne Jones, Joseph Wilk, Luisa Fabrizi, Mark Hernandez, Taís Mauk, Michelle Cheung, Julia Peter, Francisco Rojo, Mathilde Mouw-Rao, Iain Nash, and Achim Koh.
PY - 2019
Y1 - 2019
N2 - Creativity is a cornerstone of human intelligence and perhaps its most complex aspect. Thus, it is very interesting to understand how AI is already being used by professionals in creative domains like the arts and fashion. Namely, do artists actually like AI-generated “paintings"? In this study we collect and analyze responses on these questions from various contemporary artists and compare them
to more naive, crowd-sourced ones. We highlight the importance of considering artists’ opinion when evaluating AI-based art, and present a promising approach for researchers to do this easily.
AB - Creativity is a cornerstone of human intelligence and perhaps its most complex aspect. Thus, it is very interesting to understand how AI is already being used by professionals in creative domains like the arts and fashion. Namely, do artists actually like AI-generated “paintings"? In this study we collect and analyze responses on these questions from various contemporary artists and compare them
to more naive, crowd-sourced ones. We highlight the importance of considering artists’ opinion when evaluating AI-based art, and present a promising approach for researchers to do this easily.
UR - http://hdl.handle.net/10754/662646
UR - https://neurips2019creativity.github.io/doc/V3_Towards%20a%20Principled%20Evaluation%20of%20Likeability%20for%20Machine-Generated%20Art.pdf
M3 - Conference contribution
BT - 32nd Conference on Neural Information Processing Systems (NeurIPS 2019), Montréal, Canada
PB - NeurIPS
ER -