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The Transformation Of Artificial Intelligent Art Generation Of New Year Prints In Yangliuqing, North China

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dc.contributor.authorZhang, Bolun
dc.date.accessioned2025-11-06T07:15:18Z
dc.date.available2025-11-06T07:15:18Z
dc.date.issued2024-02
dc.description.abstractIn the rapid modernization tide, New Year Prints, as an ancient custom, are facing the reality that they will fade out and be discarded from life. Especially in the younger generation, there are very few people who pay attention to or understand New Year Prints. At the same time, in the existing New Year picture design research, the level of designers varies, making the final result difficult to meet the needs. To address these problems, in this study an AI art generative model is trained based on visual communication theory. AI art images with a stable style can be quickly generated by learning from the New Year Prints data set. At the same time, different applications are developed for the AI model and the generated artistic images to attract young people's attention, promote and disseminate New Year Prints culture.
dc.identifier.urihttps://erepo.usm.my/handle/123456789/23068
dc.language.isoen
dc.subjectChinese New Year in art-China
dc.subjectAI art
dc.titleThe Transformation Of Artificial Intelligent Art Generation Of New Year Prints In Yangliuqing, North China
dc.typeResource Types::text::thesis::doctoral thesis
dspace.entity.typePublication
oairecerif.author.affiliationUniversiti Sains Malaysia
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