Research on the Construction of a Talent Cultivation Model for Fine Arts Based on the Cultivation of Creative Ability in the Context of AI Painting
Journal: Journal of Higher Education Research DOI: 10.32629/jher.v6i5.4574
Abstract
With the rapid development of generative AI painting techniques represented by DALL·E 3 and Stable Diffusion, the traditional training model of fine arts is facing an urgent need for deep reconstruction. This wave of technology has not only changed the tools and processes of artistic creation, but also put forward new requirements for the creative ability, cross-media expression ability and humanistic quality of fine arts professionals. In this context, the fine arts major needs to reposition its training objectives: focusing on cultivating innovative talents with a solid foundation in art theory, profound humanistic literacy, exquisite modeling and creative practice ability, capable of independent artistic creation and research, and serving the development of the cultural and artistic cause, while strengthening the forward-looking layout of creative ability in the era of AI technology.
Keywords
AI painting, creative ability, three-dimensional ability matrix, human-machine collaboration, curriculum reconstruction
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