English

The Creativity of Text-to-Image Generation

Human-Computer Interaction 2022-11-01 v4 Graphics

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

Cite

@article{arxiv.2206.02904,
  title  = {The Creativity of Text-to-Image Generation},
  author = {Jonas Oppenlaender},
  journal= {arXiv preprint arXiv:2206.02904},
  year   = {2022}
}
R2 v1 2026-06-24T11:41:10.117Z