| 赵永涛,高经纬.新一代人工智能技术在平面设计中的应用[J].包装工程,2024,45(4):226-234. |
| 新一代人工智能技术在平面设计中的应用 |
| Application of New Generation Artificial Intelligence Technology in Graphic Design |
| 投稿时间：2023-09-25 |
| DOI：10.19554/j.cnki.1001-3563.2024.04.024 |
| 中文关键词: 人工智能技术 平面设计 自然语言理解算法 图像生成 |
| 英文关键词: artificial intelligence technology graphic design natural language description image generation |
| 基金项目:河南兴文化工程文化研究专项项目(2023XWH250) |
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| 中文摘要: |
| 目的 探讨人工智能技术在平面设计领域中的应用现状和不足，并提出一种基于自然语言描述的图像生成方法，以更好地满足设计师的需求。方法 采用GPT-3模型生成创作思路的文本描述，并使用稳定扰动(Stable Diffusion)算法生成与描述相匹配的图像。通过测试和应用实例验证方法在平面设计中的效果，旨在探索平面设计领域中的新视角和工具，以简化设计过程，提高设计质量和效率。结论 研究采用实证分析方法，结合实验结果和定性分析，评估了该方法生成的图像与自然语言描述的匹配程度、图像质量，以及方法的灵活性和可控性。通过这些评估指标，可确定该方法的有效性，并更好地满足设计师的需求。未来的研究方向包括进一步增强算法的多样性、创意性，以及探索更智能化的平面设计工具，以提高设计师的工作效率和设计品质。 |
| 英文摘要: |
| The work aims to explore the current status and limitations of artificial intelligence (AI) technology in the field of graphic design and propose a natural language-based image generation method to meet the needs of designers. The GPT-3 model was used to generate textual descriptions of creative ideas and the stable diffusion algorithm was adopted to generate images matching the descriptions. Through practical applications and testing, the effectiveness of the method in graphic design was examined, aiming to discover new perspectives and tools that simplified the design process and enhanced its quality and efficiency. The study adopts an empirical analysis approach, combining experimental results and qualitative analysis to evaluate the level of alignment between generated images and natural language descriptions, image quality, flexibility, and controllability of the method. By utilizing these evaluation criteria, the researchers can determine the method's effectiveness and better fulfill the requirements of designers. Future research directions include enhancing algorithm diversity and creativity, as well as exploring more intelligent graphic design tools to improve the efficiency and quality of designers' work. |
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