Research Area:  Machine Learning

Abstract:

Text-guided synthesis of images has made a giant leap towards becoming a mainstream phenomenon. With text-to-image generation systems, anybody can create digital images and artworks. This provokes the question of whether text-to-image generation is creative. This paper expounds on the nature of human creativity involved in text-to-image art (so-called “AI art”) with a specific focus on the practice of prompt engineering. The paper argues that the current product-centered view of creativity falls short in the context of text-to-image generation. A case exemplifying this shortcoming is provided and the importance of online communities for the creative ecosystem of text-to-image art is highlighted. The paper provides a high-level summary of this online ecosystem drawing on Rhodes conceptual four P model of creativity. Challenges for evaluating the creativity of text-to-image generation and opportunities for research on text-to-image generation in the field of Human-Computer Interaction (HCI) are discussed.

Keywords:  
Human-Computer Interaction
text-guided
mainstream phenomenon
image generation
human creativity
image art

Author(s) Name:  Jonas Oppenlaender

Publisher name:  ACM

DOI:  10.1145/3569219.3569352

Volume Information:  -

Paper Link:   https://dl.acm.org/doi/abs/10.1145/3569219.3569352