In the current era of rapid technological development, the connection between technology and art is becoming increasingly close. The increasing application of generative art in image creation has become one of the important means of utilizing technology for artistic creation. This article adopts bibliometric analysis and case analysis methods to elaborate on the current research status of the combination of the two, and analyzes the positive and negative effects of generating artistic features on image creation. Based on this, the creative methods of generating visual works in the artistic context are sorted and summarized, seeking inspiration for choosing visual carriers: using biological factors as creative carriers, using geometric factors as creative carriers, and using physical factors as creative carriers. The aim is to broaden new ideas and methods for utilizing generative art for image creation in the future through research on current creative methods.

Liu Yuting, Zhao Lu. Research on the creative methods of visual works in the context of generative art. Frontiers in Art Research (2023) Vol. 5, Issue 9: 8-12. https://doi.org/10.25236/FAR.2023.050902.

[1] Yao Dongxue. Research on the Aesthetic Characteristics of Computer Generated Art Image Works [J]. Science and Technology Communication, 2021, 13 (03): 138-140

[2] Wang Haoyue. Research on the Application of Creative Programming in Visual Design [D]. Lu Xun Academy of Fine Arts, 2022

[3] Wang Zhiwei, Wu Youxin. Research on Brand Visual Identification Design Method Based on Generative Art [J] Art Technology, 2021, 34 (23): 143-146

[4] Jon McCormack, Oliver Bown, Alan Dorin, Jonathan McCabe, Gordon Monro, Mitchell Whitelaw; Ten Questions Concerning Generative Computer Art. Leonardo. 2014; 47 (2): 135–141.