Work

Modular Generative Adversarial Networks for Support in Product Design

Year: 2025

Type: conference-paper

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.

Source: Proceedings of the International Conference on Information Systems Development

Authors: Sanket Gaikwad, Christian Daase, Christian Haertel, Daniel Staegemann, Klaus Turowski

Institutions: RWTH Aachen University, Otto-von-Guericke-Universität Magdeburg

Topic: Generative Adversarial Networks and Image Synthesis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4416381098

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