风格捕捉:基于人工智能技术的优秀传统文化数字化实践

Style Capturing:Digital Practice of Excellent Traditional Culture Based on Artificial Intelligence Technology

目的厘清峇迪艺术所面临的传承与发展困境,分析当前勾连人工智能技术与峇迪艺术时所存在的不足,解决人工智能技术在传承与发展峇迪艺术时所面临的问题。方法在马来西亚所进行的为期3个月的田野调查中,与当地蜡染坊艺术家进行了深度访谈;梳理个人新媒体艺术作品“神经元蜡染”的创作经验。结果开发了一套基于机器学习算法的卷积神经网络作画系统——“神经元蜡染”,它能够让体验者通过便利的人机交互方式,将线下的普通画作实时转化为具有传统峇迪风格的在线艺术作品,具象了体验者的想法并将其呈现在数字界面中,实现了人工智能、生成艺术与传统峇迪工艺的双向互动。结论“神经元蜡染”不仅以数字化的手段为峇迪艺术提供了更加多元的表现方法,实现了古老技艺的传承和发展;还消除了时间和空间所带来的传播局限性,以蜡染为媒介增强了不同文化之间的交往、交流和交融。

The work aims to address the dilemmas of inheritance and development within the Batik art,analyze the current deficiencies in the integration of AI technology with Batik art,and resolve the challenges faced by AI technology in the inheritance and development of Batik art.During a three-month fieldwork in Malaysia,in-depth interviews were conducted with local Batik artists,and the creation experience of our new media artwork"Neural Batik"was analyzed.As a result,"Neural Batik",a machine learning algorithm-based convolutional neural network painting system,was developed,enabling users to transform offline paintings into online artworks with traditional Batik styles in real time,visualizing the thoughts of experiencers and presents them in a digital interface,fostering interactions between artificial intelligence,ge-nerative art,and traditional Batik crafts.This innovation not only provides diversified digital expression methods for Batik art,and ensures the inheritance and development of ancient skills,but also transcends communication barriers imposed by time and space,and enhances communication and exchange between different cultures with Batik as a medium.