Maximizing the Beauty of Ceramic Art Application in Landscape Design under the Background of Artificial Intelligence

Abstract

With the large-scale development of urban landscaping construction, the problems in its expression of beauty are gradually emerging. This article selects the beauty of ceramic art in landscape design, which combines complexity and ambiguity, as the research object and conducts a systematic study on its aesthetic evaluation. Ceramic artists use pattern content to express their attitude towards life and pursuit of art. But ceramic art creation is difficult and highly professional, making it difficult for non-professionals to get started. Against the backdrop of the rapid development of artificial intelligence, image analysis technology has emerged, allowing non-professionals to decorate ceramic products. In this study, the extraction, quantification, and recognition of ceramic features are carried out through machines. The idea and implementation method of replacing experts with machines for intelligent ceramic recognition are explored. Traditional models such as Convolutional Neural Network (CNN), Visual Geometry Group (VGG) network, and fast migration model are introduced, and the improved fast migration model are proposed. Finally, through experimental comparison, the results show that the improved fast migration model exhibits robust changes in extraction quality as the learning amount increases, and has generalization ability. It is an effective new method for achieving ceramic aesthetic research and analysis, and has good practicality.

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“…Ceramic art, as an important component of traditional Chinese art, has unique aesthetic value and profound cultural connotations. Wang [16] explored how to leverage AI technology to maximize the application beauty of ceramic art in landscape design. Using AI technology to conduct data mining and analysis on the history, style, and craftsmanship of ceramic art, delving into the inherent laws and innovative points of ceramic art, and providing inspiration for landscape design.…”