Research on Artificial Intelligence in New Year Prints: The Application of the Generated Pop Art Style Images on Cultural and Creative Products

Abstract

Chinese New Year prints constitute a significant component of the country’s cultural heritage and folk art. Yangliuqing New Year prints are the most important and widely circulated of all the different kinds of New Year prints. Due to a variety of factors including societal change, industrial structure change, and economic development, New Year prints, which were deeply rooted in agricultural society, have been adversely impacted, and have even reached the brink of disappearance. With the protection and effort from the government and researchers, New Year prints can finally be preserved. However, the underlying problems remain, such as receiving little attention, a singular product form, and being unable to keep up with the times, especially among the younger generation. In this paper, the researchers first processed Yangliuqing New Year prints through the GANs model. Then, the image is segmented by binarization and color extraction of images from the Pop art dataset by the K-Means algorithm, followed by colorizing the binarized and segmented image. Finally, usable high-quality Pop art style Yangliuqing New Year prints are generated. The generated images are used in the development of cultural and creative products. Questionnaires were then distributed based on the empirical research scale. The results of this study are as follows: 1. The method proposed in this study can generate high-quality Pop art style New Year prints. 2 Using Pop art style New Year print images in the design of cultural and creative products is popular among the younger generation, and they possess a great propensity to purchase. This study solves the problems encountered by the current cultural heritage of New Year prints, and broadens the artistic expression forms and product categories, and provides research ideas for the cultural heritage of the same type that is facing similar problems. In the future, researchers will continue to explore the incorporation of AI technology in New Year prints to stimulate the vitality of traditional cultural heritage.

Can AI-generated art stimulate the sustainability of intangible cultural heritage? A quantitative research on cultural and creative products of New Year Prints generated by AI

“…This article is based on the use of AI to generate pop-art-style Yangliuqing New Year Print CCPs as proposed by Zhang et al [ 2 ]. We used the AISAS model to measure further through quantitative means to obtain more accurate data to prove its effectiveness for the sustainability of intangible cultural heritage.…”

“…They have huge artistic value and embody rich cultural connotations [ 2 ]. However, with the development of society and the process of globalization and modernization, intangible cultural heritage has also suffered certain erosion and negative effects [ 3 ], and many examples of intangible cultural heritage are finding it increasingly difficult to survive in modern society and are at risk of disappearing [ 4 ].…”

“…However, in the existing research on New Year Print design, the level of designers varies, making it difficult for the final version to meet the needs of the present era. As a result, the authors proposes to generate artificial intelligence (AI) New Year Print art images quickly and stably by training AI models that can be applied to New Year Prints as cultural and creative products (CCPs) [ 2 ]. As shown in Fig.…”

Everyone's an Artist? Exploring User Acceptance of AI-Based Painting Systems

“…Previous scholars have explored the relationship between AI and painting, such as creativity in AI painting [38], reflections on AI painting techniques [13], attitudes of art and non-art majors towards AI painting [17], comparing human and AI painting [39], and applying AI painting techniques to cultural and creative products [40]. The Art of AI Painting incorporates a wide range of techniques and styles, using machine learning to improve the user's painting ability.…”

Application interface design of Chongqing intangible cultural heritage based on deep learning

“…Meanwhile, with the popularity of smartphones and mobile internet, application (APP), as a convenient way of cultural dissemination and experience, is gradually changing how people access information and culture. In this context, it is practical significance to develop an APP interface system of ICH based on deep learning (DL) technology to enhance user experience and usability [ 3 ].…”