Modular Generative Adversarial Networks for Support in Product Design

Proceedings of the International Conference on Information Systems Development

Abstract

This paper presents a literature review on modularity and creativity in terms of design variants for generative adversarial networks for image creation. The objective is to lay the foundation for providing a suitable tool to support product design, as this area is considered a potential beneficiary of this concept. Based on the literature, a new model will be developed as an IT artifact in future research. Current approaches that allow the user to control certain features of GAN outputs are explored and commonly used metrics are investigated. Finally, limitations and future research directions are reflected upon.

Authors 5

1. Sanket Gaikwad Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Germany

2. Christian Daase

   Otto-von-Guericke-Universität Magdeburg

   Affiliation as printed

   Otto von Guericke University Magdeburg, Germany

3. Christian Haertel

   Otto-von-Guericke-Universität Magdeburg

   Affiliation as printed

   Otto von Guericke University Magdeburg, Germany

4. Daniel Gunnar Staegemann

   Otto-von-Guericke-Universität Magdeburg

   Affiliation as printed

   Otto von Guericke University Magdeburg, Germany

5. Klaus Turowski

   Otto-von-Guericke-Universität Magdeburg

   Affiliation as printed

   Otto von Guericke University Magdeburg, Germany