Fashioning the Future: Unlocking the Creative Potential of Deep Generative Models for Design Space Exploration

Abstract

This paper investigates the potential impact of deep generative models on the work of creative professionals, specifically focusing on fashion design. We argue that current generative modeling tools lack critical features that would make them useful creativity support tools, and introduce our own tool, generative.fashion 1 , which was designed with theoretical principles of design space exploration in mind. Through qualitative studies with fashion design apprentices, we demonstrate how generative.fashion supported both divergent Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

PlantoGraphy: Incorporating Iterative Design Process into Generative Artificial Intelligence for Landscape Rendering

“…Generative models are capable of generating new data points that are similar to the training data set [15]. The recent surge in GAI has ignited growing interest across various creative design fields, including fashion design [10,50], UI design [24], and visualization design [52]. GAI serves to either automate specific tasks or to foster the exploration of creative ideas [26] during the creation phase among various design processes [16,41].…”