文本到图像提示符是什么? 在视觉艺术教育中稳定传播的潜力
Nassim Dehouche1, Kullathida Dehouche2
1Business Administration Division, Mahidol University International College, Salaya, Thailand.
Heliyon
|June 9, 2023
概括
文本对图像人工智能 (AI) 为艺术教育和创造性表达提供了新的途径. 这项研究探讨了人工智能艺术生成的潜力,同时也突出了关于艺术所有权和法律框架的关键问题.
科学领域:
- 人工智能的人工智能
- 艺术史 艺术史 艺术史
- 数字人文学科 数字人文学科
背景情况:
- 文本到图像人工智能 (AI) 的最新进展,例如Dall-E和稳定扩散,可以通过自然语言提示创作艺术.
- 这些人工智能模型代表了重大突破,使视觉艺术创作民主化,并为艺术表达提供了新的工具.
研究的目的:
- 将文本到图像人工智能正式化为艺术创作的新媒介.
- 评估人工智能艺术生成在教学艺术史,美学和技术方面的潜力.
- 研究人工智能产生的艺术对艺术所有权和知识产权的影响.
主要方法:
- 分析了包含72,980个提示的大型数据集,用于稳定扩散模型.
- 开发一个框架来理解和利用AI产生的艺术在教育环境.
主要成果:
- 文本对图像人工智能通过提供实验和表达的成本效益高的工具来彻底改变艺术教育的巨大潜力.
- 该研究确定了与人工智能产生的艺术品所有权相关的新出现的挑战.
结论:
- 文本对图像人工智能为艺术教学和创造性实践提供了一个变革性的机会.
- 迫切需要开发新的法律和经济模式,以解决人工智能艺术所有权的复杂性,并在这个不断变化的环境中保护艺术家的权利.
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