Research and Extraction on Intelligent Generation Rules of Posters in Graphic Design

Tan, Hao; Xu, Bo; Liu, Aiqi

doi:10.1007/978-3-030-22577-3_41

Cited by 2 publications

(2 citation statements)

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“…In graphic design, the basic design elements include four types: text, graphics, color and layout. While the first three can be referred to as visual elements, layout design is a relatively independent design art [9]. In recent years, the demand for design has expanded in various industries, especially in the field of applied graphic design, such as packaging, advertising posters, website banners and books.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, the demand for design has expanded in various industries, especially in the field of applied graphic design, such as packaging, advertising posters, website banners and books. There have been researchers who have used AI techniques for graphic design and who have discussed the significance and impact of this work [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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Research Progress on the Aesthetic Quality Assessment of Complex Layout Images Based on Deep Learning

Pu,

Liu,

Chen

et al. 2023

Applied Sciences

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With the development of the information age, the layout image is no longer a simple combination of text and graphics, but covers the complex layout image obtained from text, graphics, images and other layout elements through the process of artistic design, pre-press processing, typesetting, and so on. At present, the field of aesthetic-quality assessment mainly focuses on photographic images, and the aesthetic-quality assessment of complex layout images is rarely reported. However, the design of complex layout images such as posters, packaging labels, advertisements, etc., cannot be separated from the evaluation of aesthetic quality. In this paper, layout analysis is performed on complex layout images. Traditional and deep-learning-based methods for image layout analysis and aesthetic-quality assessment are reviewed and analyzed. Finally, the features, advantages and applications of common image aesthetic-quality assessment datasets and layout analysis datasets are compared and analyzed. Limitations and future perspectives of aesthetic assessment of complex layout images are discussed in relation to layout analysis and aesthetic characteristics.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%