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基于人工智能的创新和开发中国非物质文化遗产的蓝色色调的应用研究
1College of Information and Communication Engineering, Dalian Nationalities University, Dalian, 116600, China. hjl@dlnu.edu.cn.
Scientific reports
|April 14, 2025
概括
本研究介绍了一种增强的生成对抗网络,用于创建新的蓝色卡利科图案,旨在通过数字创新振兴传统设计并吸引年轻观众.
科学领域:
- 数字遗产是数字遗产的一部分.
- 人工智能的人工智能
- 织品设计的设计
背景情况:
- 传统的蓝色卡利科面临着诸如继承人数下降和市场收缩等挑战.
- 现有的风格转移模型往往会产生模糊的细节和糟糕的纹理/颜色效果.
- 需要创新的方法来保护和促进文化遗产模式.
研究的目的:
- 开发一种新的风格转移方法,用于生成新的蓝色卡利科设计.
- 解决当前风格转移模型在细节,纹理和色彩再现方面的局限性.
- 为了增强传统的蓝色卡利科对年轻人群的吸引力.
主要方法:
- 使用了一个增强的循环一致的生成对抗网络 (GAN).
- 将 Ghost 卷积和 SRM 注意模块集成到发电机网络中.
- 旨在减少模型参数和计算成本,同时改善特征提取.
主要成果:
- 拟议的方法有效地增强了生成图像中的内容细节,纹理和颜色效果.
- 成功地将传统的蓝色卡利科图案与现代的日常必需品相结合.
- 与现有的风格转移技术相比,显示出更好的图像质量.
结论:
- 深度学习方法为数字保护和传统蓝色calico的创新发展提供了可行的解决方案.
- 该方法增强了文化遗产对年轻一代的吸引力.
- 突出了人工智能在文化遗产保护和创造性应用中的潜力.
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