生成式人工智能在创意图形设计的应用研究

孙立平

包装工程(设计栏目) ›› 2026, Vol. 47 ›› Issue (10) : 475-484.

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PDF(12725 KB)
包装工程(设计栏目) ›› 2026, Vol. 47 ›› Issue (10) : 475-484. DOI: 10.19554/j.cnki.1001-3563.2026.10.043
设计研讨

生成式人工智能在创意图形设计的应用研究

  • 孙立平
作者信息 +

Application of Generative Artificial Intelligence in Creative Graphic Design

  • SUN Liping
Author information +
文章历史 +

摘要

目的 随着生成式人工智能(AIGC)的快速发展,创意图形设计从传统手绘方式向生成式人工智能转变,探索设计制作的工作流和方法。方法 通过AIGC应用介入图形设计创作当中,分析当前应用前景,并推导出更契合当下图形设计的技术应用流程,结合设计思维、设计形式、设计效率、设计工作流,形成系统化的生成式作品。结果 人工智能技术可通过用户数据分析、个性化设计延展、方案优化等多种手段,为创意设计带来更广阔的创新空间,剖析人工智能在图形设计中的实际应用案例,验证生成式人工智能创作图形的基本逻辑架构和风格演变。结论 AIGC技术赋能图形设计,推动传统“创作”向现代“智作”的转型,掌握设计思维驾驭人工智能技术的能力,将抽象创意转化为机器可识别的逻辑指令,构建一套完整的AIGC图形设计工作流程新方法。

Abstract

With the rapid development of Generative Artificial Intelligence (AIGC), creative graphic design is shifting from traditional hand-drawing methods to generative artificial intelligence. The work aims to explore the workflows and methods of design and production. By integrating AIGC applications into graphic design creation, this study analyzed the current application prospects, derived a technical application process more suitable for contemporary graphic design, and combines design thinking, design forms, design efficiency, and design workflows to develop systematic generative works. Artificial intelligence technology could bring broader innovation space to creative design through various means such as user data analysis, personalized design extension, and scheme optimization. This study analyzed practical application cases of artificial intelligence in graphic design and verified the basic logical framework and style evolution of generative artificial intelligence in creating graphics. In conclusion, AIGC technology empowers graphic design and promotes the transformation of traditional "creation" to modern "intelligent creation". Mastering the ability to apply design thinking to control artificial intelligence technology, converting abstract ideas into machine-recognizable logical instructions, and constructing a complete new method of AIGC graphic design workflow are essential outcomes of this study.

关键词

AIGC / 图形设计 / 设计效率 / 工作流

Key words

AIGC / graphic design / design efficiency / workflow

引用本文

导出引用1
孙立平. 生成式人工智能在创意图形设计的应用研究[J]. 包装工程. 2026, 47(10): 475-484 https://doi.org/10.19554/j.cnki.1001-3563.2026.10.043
SUN Liping. Application of Generative Artificial Intelligence in Creative Graphic Design[J]. Packaging Engineering. 2026, 47(10): 475-484 https://doi.org/10.19554/j.cnki.1001-3563.2026.10.043
中图分类号: TB472   

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基金

德阳市社会科学界联合会文化旅游发展研究中心(WHLY2025037)

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