生成型人工智能的理想面部比例:人工智能认为什么是有吸引力的面部?
Sindhura Sridhar1, Richmond L Laryea2, Harry D Vildibill2
1Texas A&M University College of Medicine, Houston, Texas, USA.
Facial plastic surgery & aesthetic medicine
|June 26, 2025
概括
生成型人工智能 (AI) 模型创建的面孔与经典比例不同,表明AI偏见或不断发展的美容标准. 这些人工智能产生的理想面孔可能与传统的美学原则不一致.
科学领域:
- 医学美学 医学美学
- 计算机科学 计算机科学
- 人类测量学 人类测量学.
背景情况:
- 调查面部比例和特征被认为是理想的和有吸引力的生成AI.
- 了解当前流行的文本到图像人工智能模型的美学输出.
研究的目的:
- 将人工智能产生的面部比例与新古典主义的规范进行比较.
- 在AI模型和经典标准之间识别人脸吸引力的差异.
主要方法:
- 使用五个文本对图像人工智能模型生成"有吸引力"和"理想"的面部图像.
- 测量生成图像的面部比例,并将其与面部三分之一和五分之一进行比较.
- 统计分析包括ANOVA和未配对的学生t测试来比较比例.
主要成果:
- 生成的面孔主要是女性 (70%) 和白人 (75%).
- 与古典比例相比,在水平和垂直的面部部分中观察到显著的差异 (p < 0.001).
- 人工智能生成的"理想"面孔具有较小的中间水平段,而"有吸引力的"面孔具有较大的下方水平段.
结论:
- 生成型人工智能模型定义的有吸引力和理想的面孔不同于经典的比例.
- 差异可能表明固有的AI模型偏见.
- 这些差异也可能反映出对美丽的文化观念的不断变化.
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