Integrating Generative AI into Art Therapy: A Technical Showcase

Yannis Valentin Schmutz, Tetiana Kravchenko, Souhir Ben Souissi, Mascha Kurpicz-Briki
12/4/2024
cs.AI

Official code: BFH-AMI/sds24 (1 star, GPL-3.0, last commit 2024-05-21).

Abstract

This paper explores the integration of generative AI into the field of art therapy. Leveraging proven text-to-image models, we introduce a novel technical design to complement art therapy. The resulting AI-based tools shall enable patients to refine and customize their creative work, opening up new avenues of expression and accessibility. Using three illustrative examples, we demonstrate potential outputs of our solution and evaluate them qualitatively. Furthermore, we discuss the current limitations and ethical considerations associated with this integration and provide an outlook into future research efforts. Our implementations are publicly available at https://github.com/BFH-AMI/sds24.

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Code Implementations(1)

BFH-AMI/sds24Official100%
GPL-3.0

This repository contains all code required for the SDS24 Workshop "Generative AI for Well-Being".

10Jupyter NotebookMay 6, 20242 years agoGPL-3.0

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Cite this paper

@article{schmutz2024integrating,
  title  = {Integrating Generative AI into Art Therapy: A Technical Showcase},
  author = {Yannis Valentin Schmutz and Tetiana Kravchenko and Souhir Ben Souissi and Mascha Kurpicz-Briki},
  year   = {2024},
  eprint = {2412.03287},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.03287v1}
}

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