ReactFace:在线多个适当的面部反应在二极交互中的生成
IEEE transactions on visualization and computer graphics
|March 3, 2025
概括
这项研究介绍了ReactFace,这是一个新的框架,用于生成多样化和适当的听众面部反应以表达演讲者的行为. 它模拟了反应分布,并将它们与语音同步,以实现现实的交互.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 由于不同的适当反应,预测听众在二极交互中的面部反应是复杂的.
- 以前的方法专注于确定性插值,未能捕捉反应多样性和上下文依赖性.
- 现有的方法往往在生成面部反应方面缺乏同步性和适当性.
研究的目的:
- 重构面部反应预测作为一个推断/预测问题.
- 提出一个新的框架,ReactFace,用于生成多个,多样化和适当的面部反应.
- 为了解决建模相互作用背景,同步和反应多样性的局限性.
主要方法:
- 开发了ReactFace框架,以生成多个适当的面部反应.
- 学习了面部反应分布来表示不同的反应.
- 同步生成的反应与扬声器的语言和非语言行为,以实现现实的序列.
- 嵌入了新的扬声器-听众交互模块.
主要成果:
- 在产生多种多样,同步和适当的面部反应方面表现出有效性.
- 实现了与演讲者的演讲和表达方式相关的照片现实的面部反应.
- 验证了框架预测各种听众反应的能力.
结论:
- ReactFace成功地产生了多样化和适当的面部反应,克服了以前基于插值的方法的局限性.
- 该框架通过同步反应与说话者的行为来增强现实主义.
- 这种方法推进了情感计算和人与计算机交互的领域.
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