在IP产品中进行颜色匹配和形状设计的生成大模型驱动方法
Fan Wu1, Peng Lu2, Shih-Wen Hsiao3
1Department of Product Design, Dalian Polytechnic University, Dalian 116034, China.
Entropy (Basel, Switzerland)
|March 28, 2025
概括
这项研究引入了一种新的AI驱动的旅游文化产品设计方法. 它使用生成的大型模型来创建有吸引力的形状和颜色,增强可持续的旅游发展.
科学领域:
- 设计科学设计科学
- 人工智能的人工智能
- 可持续旅游 可持续旅游
背景情况:
- 生成型的大型模型和人工智能生成的内容 (AIGC) 正在改变产品设计.
- 旅游知识产权 (IP) 文化产品对于可持续旅游至关重要.
- 现有的设计方法缺乏整合旅游知识产权产品的生成大型模型.
研究的目的:
- 为旅游知识产权文化产品的颜色匹配和形状设计提出实用的方法.
- 在设计过程中利用多式联运生成型的大型模型.
- 提高旅游文化产品的吸引力和有效性.
主要方法:
- 利用 GPT-4o 探索访客的情感需求和识别目标图像.
- 用Midjourney来生成形状和使用二次曲率来选择形状.
- 使用 Midjourney 来生成彩色图像,使用 AHP 和 OpenCV 来选择颜色,以及用于组合的颜色和计算.
- 通过审美测量公式和敏感性问卷进行了定量和定性评估.
主要成果:
- 为旅游知识产权产品设计开发了一种新的方法,整合了多式联运产生的大型模型.
- 该过程有效地识别了访客的情感需求,生成了合适的形状,并选择了最佳的颜色组合.
- 关于海IP产品的案例研究表明,定量和定性评估之间存在强烈的相关性.
结论:
- 提出的方法对于旅游知识产权文化产品的颜色匹配和形状设计是有效的.
- 这种方法通过创新的产品设计来增强可持续旅游发展.
- 人工智能在文化产品设计中的整合为旅游业提供了巨大的潜力.
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