文献类型：会议论文

英文题名：Study on the Development of Ruichang Bamboo Weaving Patterns Based on Computer Graphics and Machine Learning

作者：Liu, Miao[1];Wang, Chenyue[1];Zhou, Jiale[1]

机构：[1]East China Univ Sci & Technol, Shanghai 200237, Peoples R China

会议论文集：8th International Conference on Culture and Computing (C&C) part of the 22nd International Conference on Human-Computer Interaction (HCI)

会议日期：JUL 19-24, 2020

会议地点：Copenhagen, DENMARK

语种：英文

外文关键词：Machine learning; Generative Adversarial Networks; Bamboo weaving patterns; Intangible cultural heritage protection

摘要：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.