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

In 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 Ne...

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Main Author: Zhang, Bolun
Format: Thesis
Language:English
Published: 2024
Subjects:
Online Access:http://eprints.usm.my/63188/
Abstract Abstract here
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author Zhang, Bolun
author_facet Zhang, Bolun
author_sort Zhang, Bolun
description In 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.
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spelling usm-631882025-11-06T07:19:54Z http://eprints.usm.my/63188/ The Transformation Of Artificial Intelligent Art Generation Of New Year Prints In Yangliuqing, North China Zhang, Bolun NX1-820 Arts in general In 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. 2024-02 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/63188/1/Pages%20from%20ZHANG%20BOLUN%20-%20TESIS.pdf Zhang, Bolun (2024) The Transformation Of Artificial Intelligent Art Generation Of New Year Prints In Yangliuqing, North China. PhD thesis, Universiti Sains Malaysia.
spellingShingle NX1-820 Arts in general
Zhang, Bolun
The Transformation Of Artificial Intelligent Art Generation Of New Year Prints In Yangliuqing, North China
thesis_level PhD
title The Transformation Of Artificial Intelligent Art Generation Of New Year Prints In Yangliuqing, North China
title_full The Transformation Of Artificial Intelligent Art Generation Of New Year Prints In Yangliuqing, North China
title_fullStr The Transformation Of Artificial Intelligent Art Generation Of New Year Prints In Yangliuqing, North China
title_full_unstemmed The Transformation Of Artificial Intelligent Art Generation Of New Year Prints In Yangliuqing, North China
title_short The Transformation Of Artificial Intelligent Art Generation Of New Year Prints In Yangliuqing, North China
title_sort transformation of artificial intelligent art generation of new year prints in yangliuqing north china
topic NX1-820 Arts in general
url http://eprints.usm.my/63188/
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