Aya Shabbar
ABSTRACT
Deep Learning and Image Processing is a key concept in today's world of computational art, where artists employed AI algorithms to generate visuals. This paper explores AI-generated images, using Convolutional Neural Networks software as a paradigm of symbolic AI creative systems, and contextualizes the use of modern image processing technologies to create visual artworks. It discusses the methodologies and strategies used to make art using AI algorithms, manipulating them with Processing software tool. The discussion focuses on CNN (Convolutional Neural Network) and Processing software (Java) as the main technologies used in distinct fields to generate images. My conception of technical images provides a conceptual framework for examining the qualities and attributes of AI-generated images.
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Index Terms
- Convolution Neural Networks: Intersection of Deep Learning and Image Processing in Computational Art
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