Cultural and Creative Design of AIGC Chinese Aesthetic

SONG Yu, QIAN Xiao-song, PENG Ling-yu, YE Zi-han, QIN Jing-yan

Packaging Engineering ›› 2023, Vol. 44 ›› Issue (24) : 1-8, 33.

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Packaging Engineering ›› 2023, Vol. 44 ›› Issue (24) : 1-8, 33. DOI: 10.19554/j.cnki.1001-3563.2023.24.001

Cultural and Creative Design of AIGC Chinese Aesthetic

  • SONG Yu, QIAN Xiao-song, PENG Ling-yu, YE Zi-han, QIN Jing-yan
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Abstract

Chinese aesthetics are the aesthetic concepts, artistic styles and values embodied in the traditional culture of Chinese. In the era of great development of artificial intelligence content generation technology, this work focuses on cultural and creative design of Chinese aesthetics. Through the analysis of typical Chinese traditional aesthetic work - ink painting, the AIGC technology is used to realize the transformation and generation of cultural and creative products. Based on the characteristics of large-scale ink paintings and the scarcity of master paintings, saliency detection technology was adopted for image segmentation to effectively extract information. A machine learning algorithm based on an artificial neural network i.e. diffusion model, was used to train an AIGC cultural and creative model that could realize the redrawing of images with the characteristics of traditional ink paintings. Then, the model was guided to generate Chinese aesthetic images and the generated results were applied to the design of cultural products and creative derivatives. Taking the classic paintings "crab", which is painted by Mr. QI Bai-shi, a national treasure-level painter in China, as an example, features were extracted and image segmentation was performed to obtain a material library for artificial intelligence algorithms. Then, the diffusion generation model was used for training to explore the characteristics of traditional Chinese paintings, and experiments were designed to verify its feasibility. A customized path is established for Chinese traditional aesthetics AIGC content generation, analysis and transformation to solve the aesthetic boundary problem between Chinese traditional aesthetics and AIGC large models. From the aesthetic concept of modern artificial intelligence content generation technology, traditional culture is combined with modern technology to create innovative art and design works and promote the development of cultural and creative industries, which is of great significance and value to the inheritance and innovation of traditional Chinese culture.

Key words

AIGC; traditional culture; Chinese aesthetics; cultural and creative industries

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SONG Yu, QIAN Xiao-song, PENG Ling-yu, YE Zi-han, QIN Jing-yan. Cultural and Creative Design of AIGC Chinese Aesthetic[J]. Packaging Engineering. 2023, 44(24): 1-8, 33 https://doi.org/10.19554/j.cnki.1001-3563.2023.24.001
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