April 1, 2024Demiurge Ideas Technologies Perspectives of DesignOpen Access

Artificial Intelligence in Graphic Design: the Case of Generative Neural Networks

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Generative neural networks enable rapid synthesis and transformation of graphic assets, allowing designers to manipulate geometric proportions and color palettes effectively.
Qualitative analysis of tools like MidJourney and Stable Diffusion shows extensive operationalization, advancing generative graphics in animation and interface development.
Highlights generative design as an essential technology across modern visual industries, expanding creative possibilities despite current functional and compositional constraints.

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Implication

Qualitative analysis demonstrates extensive operationalization of generative neural networks in graphic design, highlighting rapid adoption across image synthesis workflows.

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Sofia Gerenko (2024) studied this question.

synapsesocial.com/papers/68e7115bb6db64358768a3b0 https://doi.org/10.31866/2617-7951.7.1.2024.300924

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Implication

Qualitative analysis demonstrates extensive operationalization of generative neural networks in graphic design, highlighting rapid adoption across image synthesis workflows.

Artificial Intelligence in Graphic Design: the Case of Generative Neural Networks

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Implication

Cite This Study

Artificial Intelligence in Graphic Design: the Case of Generative Neural Networks

Key Points

Discussion

Implication

Cite This Study

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