| 摘要: |
| 目的 为传承保护和创新发展陕西地区非物质文化遗产——凤翔木版年画，解决传统手工艺色彩复原难、图案组合创新效率低等问题，通过生成对抗网络与凤翔木版年画结合的方式，多维度推动其发展。方法 通过高清扫描、自适应阈值检测法、标准色值提取及数据增广等方式对其进行系统性归纳总结与标准化采集存储，建立凤翔木版年画数据集，利用CycleGAN算法训练网络模型以完成迁移实验。结果 通过艺术与技术的结合，不仅完成了年画墨线稿的色彩复原，还完成了创新设计图案的快速着色。结论 在凤翔木版年画的史料复原与设计应用方面，通过现代设计方法与色彩风格迁移功能的结合，使其在适应现代发展趋势、完成活态传承任务的同时，为同类研究提供新思路。 |
| 关键词: 生成对抗网络 凤翔木版年画 创新图案 色彩迁移 |
| DOI：10.19554/j.cnki.1001-3563.2024.08.024 |
| 分类号: |
| 基金项目:陕西省社会科学基金项目(2022J034);2022年度陕西省哲学社会科学研究专项(2022HZ1710) |
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| Migration of Colour Features in Fengxiang Woodblock Prints Based on Generative Adversarial Networks |
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DU Jie1, LIU Ziyu1, WANG Kaiyu1, HAN Yixuan2
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(1. School of Art and Design, Xi'an University of Technology, Xi’an 710054, China;2. School of Art and Design, Xi'an University of Architecture and Technology Huaqing College, Xi'an 710000, China)
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| Abstract: |
| In order to inherit and protect the intangible cultural heritage, Fengxiang woodblock prints, in Shaanxi region and solve the problems of difficult color restoration of traditional handicrafts and low efficiency of pattern combination innovation, the work aims to combine the Generative Adversarial Networks and Fengxiang woodblock prints to promote its development in a multi-dimensional way. By means of high-definition scanning, adaptive threshold detection method, standard color value extraction and data augmentation, systematic generalization and standardized collection and storage were carried out to establish the dataset of Fengxiang woodblock prints, and CycleGAN algorithm was used to train the network model to complete the migration experiments. Through the combination of art and technology, both the color restoration of ink line drafts in the prints and the rapid coloring of innovative design patterns were completed. In the historical data restoration and application of Fengxiang woodblock prints, through the combination of modern design methods and color style migration function, the method can adapt to the modern development trend and complete the task of living inheritance while providing new ideas for similar research. |
| Key words: Generative Adversarial Networks Fengxiang woodblock prints innovative patterns colour migration |
