DALL-E in Flatland Illusion, Space, and AI-Generated Images

The release of multimodal generative artificial intelligence (AI) models in 2022, including DALL-E, Midjourney, and Stable Diffusion, has opened up new avenues to producing images. This new paradigm has implications for ideas of vision, illusion, and representation. Computer vision research has long...

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Bibliographic Details
Published in:Media theory Vol. 8; no. 1; pp. 185 - 204
Main Author: Wasielewski, Amanda
Format: Journal Article
Language:English
Published: Media Theory 2024
Subjects:
artificial intelligence
DALL-E
generative AI
Humanities and Social Sciences
photography
generative AI
artificial intelligence generative AI photography illusion representation computer vision
computer vision
representation
photography
artificial intelligence
illusion
ISSN:2557-826X, 2557-826X
Online Access:Get full text
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Summary:The release of multimodal generative artificial intelligence (AI) models in 2022, including DALL-E, Midjourney, and Stable Diffusion, has opened up new avenues to producing images. This new paradigm has implications for ideas of vision, illusion, and representation. Computer vision research has long used photographic images as a way to enable machines to see. Generative AI, on the other hand, uses data and techniques from computer vision to create images. This is possible thanks to the use of artificial neural networks that process vast datasets of training images, many of which are photographs, and the text associated with them. This article considers the relationship between image creation, illusion, and the notion of space in multimodal models. The photographic form of AI-generated images, coupled with a lack of understanding or experience of space undergirding their creation, reveals the illusion and artifice that is part of all photography.
ISSN:2557-826X
2557-826X
DOI:10.70064/mt.v8i1.1073