Abstract
Ruichang bamboo weaving in Jiangxi Province, known as one of China’s significant intangible cultural heritages (ICH), faces multiple problems such as old-fashioned and monotonous patterns due to a lack of inheritors, uncreative design and low efficiency. This study applies machine learning and computer graphics to the generation of new Ruichang bamboo weaving patterns, or more specifically, it generates new patterns by establishing the Generative Adversarial Networks (GAN) algorithm model, inputting reasonable parameters and applying Python and Tensorflow frameworks. This study develops and diversifies bamboo weaving patterns through machine deep learning, providing new approaches and ideas for the ICH protection.
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Liu, M., Wang, C., Zhou, J. (2020). Study on the Development of Ruichang Bamboo Weaving Patterns Based on Computer Graphics and Machine Learning. In: Rauterberg, M. (eds) Culture and Computing. HCII 2020. Lecture Notes in Computer Science(), vol 12215. Springer, Cham. https://doi.org/10.1007/978-3-030-50267-6_28
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DOI: https://doi.org/10.1007/978-3-030-50267-6_28
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