| 王晓慧,覃京燕,杨士萱,孙炜媜,全烘辰.基于AI画作生成的个性化文化创意产品设计方法[J].包装工程,2020,41(6):7-12. |
| 基于AI画作生成的个性化文化创意产品设计方法 |
| Cultural and Creative Product Design Method Based on AI Painting |
| 投稿时间：2019-12-23 修订日期：2020-03-20 |
| DOI：10.19554/j.cnki.1001-3563.2020.06.002 |
| 中文关键词: 人工智能 图像生成 文化创意产品 八破图 |
| 英文关键词: artificial intelligence image generation cultural and creative products Bapo Paintings |
| 基金项目:国家重点研发计划资助（2018YFB0704301）；中央高校基本科研业务费（FRF-TP-18-007A3）；北京科技大学-台北科技大学专题联合研究计划（TW2018004） |
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| 中文摘要: |
| 目的 基于人工智能的图像生成技术，特别是AI画作生成技术，将其应用于个性化文化创意产品的设计。方法 以八破图艺术风格为例，研究个性化的AI画作生成算法，挖掘AI画作与文化创意产品载体的结合点，实现个性化文创产品设计。首先，构建八破图图像库，研究八破图艺术风格的量化描述，提取构图、拼接边缘特征等人工特征和基于VGG卷积神经网络的高层语义特征。然后，提出八破图艺术风格的图像拼接算法。最后，基于所生成的图像设计文化创意产品，实现基于纸工程的“集珍博物馆”立体书设计。结果 个性化AI画作与文化创意产品载体之间自然结合点的挖掘，为文化创意产品设计提供了新的思路。结论 研究结果表明了人工智能技术，例如AI图像生成，应用于个性化文化创意产品设计的可行性和有效性，进一步为设计学与计算机科学的交叉提供了有效方法。 |
| 英文摘要: |
| The work aims to apply the artificial intelligence-based image generation technology, especially AI painting generation technology, to the design of personalized cultural and creative products. With the Bapo Paintings style as an example, the personalized AI painting generation algorithm was studied and the joint point of AI painting and cultural and creative product carrier was excavated to achieve the design of cultural and creative products. First, a library of the Bapo Paintings was constructed to study the quantitative description of the Bapo Paintings style, and extract artificial features such as composition, stitching edge features, and high-level semantic features based on VGG convolutional neural network. Then, an image stitching algorithm of the Bapo Paintings style was proposed. Finally, the cultural and creative products were designed based on the generated image design to achieve the design of a pop-up book of the “Reunion Museum” based on paper engineering. The excavation of natural joint point of personalized AI painting and cultural and creative product carrier provided new ideas for the design of cultural and creative products. The research results show the feasibility and effectiveness of artificial intelligence technologies (such as AI image generation technology) applied to the design of personalized cultural and creative products, to further provide an effective method for the intersection of design and computer science. |
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