在书封面开发中使用机器学习和生成智能
Nonna Kulishova1, Daiva Sajek1
1Kauno Kolegija Higher Education Institution, Faculty of Informatics, Engineering and Technologies, Pramonés av. 20, 111965284 Kaunas, Lithuania.
Journal of imaging
|February 25, 2025
概括
机器学习和生成人工智能 (GAI) 可以通过识别特定类型的颜色偏好来增强自我出版的书封面设计. 这种方法通过创新的GAI工作流来改善封面创建,从而产生视觉上有吸引力和有针对性的设计.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 出版技术 出版技术
背景情况:
- 机器学习和人工智能越来越多地被整合到各种部门.
- 书籍封面设计,特别是自我出版,可以从人工智能驱动的改进中受益.
- 读者的颜色偏好,受类型和文化的影响,影响书籍选择.
研究的目的:
- 通过机器学习和生成人工智能 (GAI) 改进自我出版书籍封面设计.
- 为了有效的书封面设计,识别和利用类型特定的颜色偏好.
- 为GAI协助的书封面创作提出一个增强的工作流程.
主要方法:
- 对书封面图像进行集群分析,以确定特定类型的颜色偏好.
- 研究用于覆盖设计和改进的生成性AI服务.
- 开发一个改进的流程图GAI在自我出版,包括探索,调节,和不断发展的阶段.
- 使用机器学习进行实验,以确定书籍封面布局中普遍存在的颜色及其和.
主要成果:
- 识别与特定书籍类型相关的颜色偏好.
- 在创建和完善书封面设计时展示生成性AI能力.
- 采用拟议的GAI方案,获取给定类型的书封面布局版本.
- 确定颜色与和的颜色调色板的验证.
结论:
- 机器学习和GAI提供了强大的工具,可以优化自我出版书籍封面设计.
- 将特定类型的色彩分析与GAI工作流程集成,可以带来更有效和更有吸引力的书封面.
- 拟议的GAI设计过程提高了书封面创作中的创意控制和输出质量.
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