Generative AI Technology-Assisted Visual Design Innovation Research

With the rapid development of generative artificial intelligence technology, the field of visual arts and design has been increasingly innovative, resulting in a gradual change in the established form and process of design, but how generative AI can effectively assist designers to innovate and enhance the creativity of their works is yet to be investigated. The article studies the GAN and Pix2Pix network model, uses the humancomputer collaborative design method experiments based on the Pix2Pix algorithmic model, and evaluates the innovativeness of the experimental results. The results show that generative AI shows great potential and value in the field of visual arts and design, which can not only provide designers with a variety of creative solutions, but also significantly improve design efficiency and consistency. However, further exploration of the optimal mode of human-computer collaboration is needed to give full play to its advantages and overcome its limitations, and the results can provide ideas for visual design innovation.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icid64166.2024.11025107
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
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Generative AI Technology-Assisted Visual Design Innovation Research

Gang Li, Xiaowei Zhao
Digital Media and Visual Art
article

Generative AI Technology-Assisted Visual Design Innovation Research

Gang Li, Xiaowei Zhao
article en

Abstract

With the rapid development of generative artificial intelligence technology, the field of visual arts and design has been increasingly innovative, resulting in a gradual change in the established form and process of design, but how generative AI can effectively assist designers to innovate and enhance the creativity of their works is yet to be investigated. The article studies the GAN and Pix2Pix network model, uses the humancomputer collaborative design method experiments based on the Pix2Pix algorithmic model, and evaluates the innovativeness of the experimental results. The results show that generative AI shows great potential and value in the field of visual arts and design, which can not only provide designers with a variety of creative solutions, but also significantly improve design efficiency and consistency. However, further exploration of the optimal mode of human-computer collaboration is needed to give full play to its advantages and overcome its limitations, and the results can provide ideas for visual design innovation.

Shenyang Jianzhu University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
Digital Media and Visual Art
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Generative AI Technology-Assisted Visual Design Innovation Research — Gang Li, Xiaowei Zhao · (2024) | TGRS Research Map | TGRS