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Autori principali: Abuzuraiq, Ahmed M., Pasquier, Philippe
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2404.17688
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author Abuzuraiq, Ahmed M.
Pasquier, Philippe
author_facet Abuzuraiq, Ahmed M.
Pasquier, Philippe
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2404_17688
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Seizing the Means of Production: Exploring the Landscape of Crafting, Adapting and Navigating Generative AI Models in the Visual Arts
Abuzuraiq, Ahmed M.
Pasquier, Philippe
Human-Computer Interaction
Artificial Intelligence
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.
title Seizing the Means of Production: Exploring the Landscape of Crafting, Adapting and Navigating Generative AI Models in the Visual Arts
topic Human-Computer Interaction
Artificial Intelligence
url https://arxiv.org/abs/2404.17688