Seizing the Means of Production: Exploring the Landscape of Crafting, Adapting and Navigating Generative AI Models in the Visual Arts
Ahmed M. Abuzuraiq, Philippe Pasquier

TL;DR
This paper explores how visual artists can craft, adapt, and navigate generative AI models for creating personal artworks, emphasizing model crafting as a distinct creative activity.
Contribution
It maps the landscape of generative AI tools for artists and advocates for viewing model crafting as a unique form of creative practice.
Findings
Mapping of available generative AI options for artists
Proposal to treat model crafting as a creative activity
Discussion on the importance of designing for creative goals
Abstract
In this paper, we map out the landscape of options available to visual artists for creating personal artworks, including crafting, adapting and navigating deep generative models. Following that, we argue for revisiting model crafting, defined as the design and manipulation of generative models for creative goals, and motivate studying and designing for model crafting as a creative activity in its own right.
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Taxonomy
TopicsAesthetic Perception and Analysis · Architecture and Computational Design · Art, Technology, and Culture
