Contemporary Creativity: The many Faces of AI Art

A research project on the creative potential of Dream-OOD AI-generated images through the lens of Boden’s Creativity Framework using an Elo-based rating system

Bachelor thesis (2024)

Authors

J.N. de Keijzer Electrical Engineering, Mathematics and Computer Science

Contributors

A. Lukina Algorithmics - EEMCS (mentor)
P. Kellnhofer Computer Graphics and Visualisation - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science
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Published Date

30-06-2024

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

This research project investigates the creative potential of AI-generated images, specifically those produced by the Dream-OOD diffusion model, through the lens of Margaret Boden’s creativity framework. We conducted a user study employing an Elo-based rating system to assess the novelty, surprisingness, and value of Dream-OOD generated images, comparing them to real-world IMAGENET images. The results show that Dream-OOD excels in generating images perceived as novel and surprising while aligning with Boden’s concept of exploratory creativity. However, AIgenerated images often fall short in terms of value compared to real images. This study serves as a proof of concept for using Boden’s framework together with an Elo based ranking system, to evaluate AI creativity, highlighting the potential of Dream-OOD in generating novel and surprising content while acknowledging its limitations in replicating the aesthetic and emotional depth of human-created art.