楚风漆器数据集:用于数字保存和继承楚风漆器的数据集
Haoming Bi1, Yelei Chen1, Chanjuan Chen1
1Digital Art Industry Institute, Hubei University of Technology, Wuhan 430068, China.
Sensors (Basel, Switzerland)
|September 13, 2025
概括
本研究介绍了用于数字保存的楚式漆器 (CSL) 数据集. 该CSL数据集增强了人工智能生成的图像和创新模式,支持文化遗产和跨学科研究.
科学领域:
- 数字人文学科 数字人文学科
- 人工智能的人工智能
- 保护文化遗产 保护文化遗产
背景情况:
- 楚式漆器 (CSL) 是全球无形手工艺遗产的重要组成部分.
- 数字保存对于保护和传输CSL至关重要.
研究的目的:
- 开发一个专门的数据集,用于AI CSL的生成模型.
- 验证CSL数据集对数字保存和文化传播的可用性.
主要方法:
- 整合了现场图像和数字资源,以创建CSL数据集.
- 使用低级调整 (LoRA) 来使用CSL数据集训练AI模型.
- 通过五个方面验证了数据集的可用性,重点是人工智能生成的图像质量.
主要成果:
- 该CSL数据集提高了人工智能生成的CSL图像的准确性和细节恢复.
- 基于CSL的创新模式的优化生成效应.
- 验证了数据集在文化遗产人工智能生成中的应用价值.
结论:
- 该CSL数据集为数字保存文化遗产提供了一条新的技术途径.
- 支持考古学,艺术史和文化传播领域的跨学科研究.
- 强调跨学科合作对保护非物质文化遗产 (ICH) 的重要性.
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