风格转移的中国武汉铁画使用等级视觉变压器
Yuying Zhou1, Yao Ren1, Chao Wu2
1Academy of Art and Design, Anhui University of Technology, Ma'anshan 243002, China.
Sensors (Basel, Switzerland)
|January 8, 2025
概括
本研究介绍了一种等级视觉转换器 (HVT),用于中国武汉铁画风格的转移. 新的框架显著减少了风格和内容的损失,在专家评估中表现优于现有的方法.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 数字艺术保护数字艺术保护
背景情况:
- 由于其独特的艺术风格,中国武胡铁画对数字风格转移提出了独特的挑战.
- 现有的风格转移方法与湖铁画的复杂细节和材料美学作斗争.
研究的目的:
- 开发一个有效和精确的风格转移框架,为中国的Wuhu铁画.
- 解决目前捕捉和复制这种传统艺术形式的独特艺术元素的方法的局限性.
主要方法:
- 引入了一种针对武侯铁画风格量身定制的等级视觉转换器 (HVT) 框架.
- 开发了一种高效的局部注意解码器 (ELA-Decoder),用于自适应性特征解码.
- 提出了一个内容校正模块 (CCM) 来改进风格转移结果.
- 为培训和评估构建了一个专门的Wuhu铁画数据集.
主要成果:
- 在风格和内容损失指标中实现了最佳性能,分别减少了至少4%和5%.
- 该HVT框架在捕捉和转移武侯铁画的风格元素方面表现出卓越的能力.
- 专家评估证实了该方法的有效性,提出的方法获得了最多的选票.
结论:
- 开发的HVT框架在传统的中国武汉铁画的风格转移方面取得了重大进展.
- 该方法为数字化保存和传播这种独特的艺术形式提供了强大的解决方案.
- 未来的工作可以探索HVT框架对其他复杂的传统艺术风格的更广泛应用.
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