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.
Key words
AIGC /
graphic design /
design efficiency /
workflow
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
References
[1] 赵颖. 探究生成式人工智能在视觉传达设计领域的渗透[J]. 丝网印刷, 2023(24): 73-76.
ZHAO Y.Exploring the Penetration of AIGC in the Field of Visual Communication Design[J]. Screen Printing, 2023(24): 73-76.
[2] 王诺, 毕学成, 许鑫. 先利其器:元宇宙场景下的AIGC及其GLAM应用机遇[J]. 图书馆论坛, 2023, 43(2): 117-124.
WANG N, BI X C, XU X.AIGC in Metaverse Scenarios and Its Application in GIAM[J]. Library Tribune, 2023, 43(2): 117-124.
[3] 周琪瑶, 赵卫东. 生成式人工智能辅助下文创设计方法研究综述[J]. 包装工程, 2025, 46(4): 121-133.
ZHOU Q Y, ZHAO W D.Review of Cultural and Creative Design Methods in the Context of Generative Artificial Intelligence Assistance[J]. Packaging Engineering, 2025, 46(4): 121-133.
[4] 徐晨雨, 祁悦, 郭瀚之, 等. 基于AIGC的西夏文化元素提炼及混合现实数字人互动设计[J]. 包装工程, 2024, 45(20): 49-57.
XU C Y, QI Y, GUO H Z, et al.AIGC-Based Western Xia Cultural Element Extraction and Mixed Reality Digital Human Interaction Design[J]. Packaging Engineering, 2024, 45(20): 49-57.
[5] CSDN博客 [EB/OL]. (2024-12-3)[2025-5-19]. https://blog.csdn.net/m0_56144365/article/details/142997453
[6] 李芳. 基于生成对抗网络的多媒体视觉图像显著特征增强方法[N]. 贵阳学院学报(自然科学版). 2024 ,19(4): 100-104.
LI F.Saliency Feature Enhancement Method for Multimedia Visual Images Based on Generative Adversarial Network[J] Journal of Guiyang University (Natural Science Edition). 2024, 19(4): 100-104.
[7] 董占军. 艺术设计|艺科为本、科艺融合——山东工艺美术学院探索人工智能赋能设计学发展路径[N]. 中国美术报,2024-3-29(10).
DONG Z J. Art Design | Art Science for Undergraduate Art Integration -Shandong University of Art & Design Explores the Development Path of Design Studies Empowered by Artificial Intelligence[N]. China Art News, March 29, 2024 (10).
[8] 赵文峤. 从“哪吒登顶”看传统文化现代表达[N]. 学习时报—2025-5-9(8).
ZHAO W Q. On the Modern Expression of Traditional Culture from "Nezha Reaching the Summit" [N]. Study Times, 2025-05-09(8).
[9] 百家号. 入骨影评[EB/OL]. (2025-02-21)[2025-05-19]. https://baijiahao.baidu.com/sid=1824646651936336083&wfr=spider&for=pc.
Baijiahao. Deep-Review[EB/OL]. (2025-02-21)[2025-05-19]. https://baijiahao.baidu.com/sid=1824646651936336083&wfr=spider&for=pc.
[10] 濮子涵, 杨滨. 人工智能辅助技术在包装设计中的应用研究[J]. 包装工程, 2023, 44(12): 273-281.
PU Z H, YANG B.Application of Artificial Intelligence Aided Technology in Packaging Design[J]. Packaging Engineering, 2023, 44(12): 273-281.
[11] X·FUN小方[EB/OL]. (2025-05-09)[2025-05-19]. https://xfun.design/home.
X·FUN Xiaofang[EB/OL]. (2025-05-09)[2025-05-19]. https://xfun.design/home.
[12] SANTOS I, CASTRO L, RODRIGUEZ-FERNANDEZ N, et al.Artificial Neural Networks and Deep Learning in the Visual Arts: A Review[J]. Neural Computing and Applications, 2021, 33(1): 121-157.
[13] YANG B, WEI L, PU Z H.Measuring and Improving User Experience through Artificial Intelligence-Aided Design[J]. Frontiers in Psychology, 2020, 11: 595374.
[14] 刘芳, 王遵富, 梁晓婷. 文化大数据与智能设计平台综述[J]. 包装工程, 2021, 42(14): 1-8.
LIU F, WANG Z F, LIANG X T.Review on Cultural Big Data and Intelligent Design Platform[J]. Packaging Engineering, 2021, 42(14): 1-8.
[15] 吴琼. 人工智能时代的创新设计思维[J]. 装饰, 2019(11): 18-21.
WU Q.Innovative Design Thinking in the Era of Artificial Intelligence[J]. Art & Design, 2019(11): 18-21.
[16] 哩布哩布 AI[EB/OL]. (2023-11-30)[2025-09-07]. https://www.liblib.art/sd.
Liblib AI[EB/OL]. (2023-11-30)[2025-09-07]. https://www.liblib.art/sd.
[17] 隋伟康. 站酷可口可乐百大艺术家AI海报创作-海底的神奇可乐门[EB/OL]. (2023-11-30)[2025-05-19]. https://www.zcool.com.cn/work/ZNjcyMTE4MDA=.html.
SUI W K. ZCOOL Coca-Cola Top 100 Artists AI Poster Creation -The Magical Coca-Cola Gate Under the Sea[EB/OL]. (2023-11-30)[2025-05-19]. https://www.zcool.com.cn/work/ZNjcyMTE4MDA=.html.
[18] 知乎. AI人工智能辅助图形设计在纺织品数码印花图案中的应用——以AI人工智能程序Midjourney为例[EB/OL]. (2022-09-19)[2025-05-19]. https://zhuanlan.zhihu.com/p/565771879.
Zhihu. Application of AI-assisted Graphic Design in Digital Printing Patterns of Textiles——Taking the AI Program Midjourney as an Example[EB/OL]. (2022-09-19)[2025-05-19]. https://zhuanlan.zhihu.com/p/565771879.
[19] 毕翔. 生成式人工智能视域下影视行业发展面临的困境与对策研究[J]. 电影文学, 2024(21): 121-125.
BI X.Research on Dilemmas and Countermeasures for the Development of the Film and Television Industry from the Perspective of Generative Artificial Intelligence[J]. Movie Literature, 2024(21): 121-125.
PDF(12725 KB)
渝公网安备 50010702501717号