Automated Chinese Seal Carving Art Creation with AI Assistance

Yin, Yehang; Chen, Zewen; Zhao, Yufei; Li, Jiongqi; Zhang, Kejun

doi:10.1109/mipr49039.2020.00086

Cited by 6 publications

(1 citation statement)

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“…Scholars such as Ioannis Rallis use machine learning to capture, document, and store dance movements in intangible cultural heritage, as opposed to the previously prevalent method of filming and recording [3]. Yehang Yin uses the glyphs generated by deep learning to assist users with no seal carving experience in completing their own seal designs and obtaining a physical seal carving artwork rapidly [4]. Scholars such as Theodora Pistola develop web platforms to digitally preserve intangible cultural heritage, offering online resource searching and utilizing technologies such as VR and AI to analyze ethnic dances and texts for innovative applications of intangible cultural heritage [5].…”

Section: Introductionmentioning

confidence: 99%

Sustainable AI Design for Canton Embroidery Based on Design Thinking an Example of Lotus and Butterfly Themes

Chen,

Lai,

Luo

et al. 2024

Proceedings of the 3rd International Conference on Innovation Design and Digital Technology, ICIDDT 2023, November 3–5, 2023, Z

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Canton embroidery is one of China's intangible cultural heritages, and its designs reflect the "fusion of East and West" in Lingnan Region of China. In the trend of applying artificial intelligence to the development of traditional crafts, research on the application of artificial intelligence to Canton embroidery is lacking in order to conclude the sustainable development of digitization. This study examines the viability of incorporating AI painting into Canton embroidery by developing a functional model of AI painting design based on the digital database of team Canton embroidery. The model consists of four stages: (1) Developing a project via fieldwork and literature evaluation (2) exercising AI painting application in five aspects, including theme, color, style, composition, and atmosphere (3) Customer Satisfaction Index assessment of model outputs by youth groups and broad embroidery practitioners, and internal consistency. The working model of AI drawing design can provide new ideas for the evolution of embroidery, distinguish it from other forms of modern embroidery, and serve as a case study for the integration of AI with traditional craftsmanship.

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Section: Introductionmentioning

confidence: 99%