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A Case Study on Designing a Book Cover Using Generative AI

  • Mi Na Lee (Department of Visual Design, Kyunghee University)
  • Received : 2024.09.20
  • Accepted : 2024.10.25
  • Published : 2024.10.31

Abstract

Generative AI technology, which represents the artificial intelligence era, is developing faster than any other field in image production and is being applied to practice. The purpose of this study is to explore various ways to use Generative AI by deriving the characteristics and types of Generative AI use cases of book cover design among visual design fields. The research method investigated the concept of Generative AI and the current status of use in the field of visual design through literature. Based on this, the book cover design cases were analyzed using the Generative AI currently published, and design characteristics and types were derived. As a result of the study, Generative AI book cover design could be divided into two characteristics: 'Indirect Expression' and 'Direct Expression' and three types: 'Image Transfer', 'Image Transformation', and 'Image Expansion'. Future uses of generative AI in book cover design will need to understand the format of the book, be able to describe a lot of knowledge and experience for prompting, and generate a lot of images for inspiration. Numerous Generative AI tools exist today. In the future, it should be the basis for designers to effectively handle Generative AI by analyzing commercial outcomes created by Generative AI in various design fields to create creative outcomes that can be used in practice beyond the use of tools.

Keywords

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