Advances in automatic layout design based on generative adversarial networks

Bo Gao

doi:10.1117/12.3003837

11 October 2023 Advances in automatic layout design based on generative adversarial networks

Bo Gao

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128005M (2023) https://doi.org/10.1117/12.3003837
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

Layout is created for elements (images, texts) arrangement which helps show information directly and clearly. Traditional layout design mainly relies on templates or the expertise of experienced designers and usually a good design requires a significantly investment of time and money. Benefitting from the deep learning’s quick development, automatic layout design has progressed based on convolutional neural network especially the Generative Adversarial Networks (GANs). Existing automatic layout design works mainly rely on the framework of Generative Adversarial Networks (GANs), which can further be divided into the graphic layout, components layout and text title layout according to the difference of tasks. Focusing on above three aspects, this paper expounds on all layout design models based on GAN and their application directions and looks forward to future research directions. It can be used as a trade-off and reference for a researcher to choose GAN-based methods when conducting layout.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Bo Gao "Advances in automatic layout design based on generative adversarial networks", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128005M (11 October 2023); https://doi.org/10.1117/12.3003837

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KEYWORDS

Design and modelling

Visualization

Data modeling

Artificial intelligence

Pattern recognition

Computer vision technology

Visual process modeling

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