Chinese Journal of Intelligent Science and Technology ›› 2023, Vol. 5 ›› Issue (3): 406-414.doi: 10.11959/j.issn.2096-6652.202333

• Special Topic: Diffusion Model and Artificial Intelligence Generated Content • Previous Articles     Next Articles

AI-driven digital image art creation: methods and case analysis

Changsheng WANG   

  1. Sejong University, Seoul 05006, Republic of Korea
  • Revised:2023-08-09 Online:2023-09-01 Published:2023-09-26

Abstract:

In recent years, the rapid advancement of artificial intelligence technology has introduced novel tools for the realm of digital image creation.The use of AI tools for digital image creation has gradually become a common practice.In this context, this paper analyzed the methods and cases of AI-driven digital image art creation through interviews, surveys, and case analyses.The survey revealed that the majority of respondents believed that AI tools had a significant impact on their creative process, especially the widespread use of direct output from artificial intelligence methods in digital image art creation.By analyzing the cases in detail, this paper revealed the typical paradigms of AI-based digital image art creation and summarized them as the “AI art creation workflow”, which included AI direct output, AI assisted drawing, and ControlNet precision drawing.These methods can effectively replace repetitive steps in digital image creation and improve image output efficiency, assist in digital image drawing and break through the conventional drawing ideas, and achieve precise and controllable expression of digital image art content.

Key words: artificial intelligence art, digital image, generative art, AI painting, painting generation

CLC Number: 

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