Answers are grounded in this paper and cite their sources.
Qualitative analysis reveals clumsiness aesthetics influences cultural value in contemporary Chinese painting, suggesting a response to AI art's impact.
In this study, researcher has used the traditional Chinese clumsiness aesthetics as the starting point to explore the significance and cultural value of this concept in contemporary Chinese painting under AI painting influence. The two-dimensional influence of AI painting has deconstructed the visual language of contemporary Chinese painting and transformed it into two-dimensional visual images without any eastern aesthetic heritage, then dissolved the spiritual connotations behind it and replaced the core of local aesthetic values in this painting form. Based on the general exposition of existing academic achievements, researcher has set representative artists and their artworks as research samples, collected the overall definition and characteristic description of the clumsiness aesthetics from this group through qualitative research method, then further interpreted the basic framework of this concept in the actual creative process of contemporary Chinese painting through descriptive analysis method. By summarizing the feedback from relevant artists and their creative practices, researcher has described in detail the application of the clumsiness aesthetics under the influence of AI painting in related paintings. By exploring the overall cultural trend and response attitude of this concept to AI painting influence, researcher has evaluated its significance and practical value in current cultural context. On this basis, researcher has evaluated the cultural image of contemporary Chinese painting centered on the clumsiness aesthetics, explored the artistic identity and diverse applications of clumsiness aesthetics in Chinese aesthetic ecology, revealed its potential for breaking through the influence of AI painting, then laid the foundation for the independent development of Chinese contemporary painting in the AI era.
No takes yet. Share an insight, caveat, or question.
A 2025 study studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: