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音频驱动的单图像说话的面部动画与变压器
1Department of Intelligent Technology, Shanghai Institute of Technology, 100 Haiquan Road, Shanghai, 201418, Fengxian District, China.
Scientific reports
|January 19, 2026
概括
ExpNet通过将头部运动与面部表情脱而出,产生真实的说话头部视频. 这种基于变压器的方法改善了唇部同步和视频质量,即使有情绪变化.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 音频驱动的说话头视频生成对虚拟人类和数字内容至关重要.
- 目前的方法与不自然的唇部动作和面部扭曲作斗争,特别是在情绪表达时.
- 这些问题源于音频信号纠语言内容,情绪和说话者的属性.
研究的目的:
- 提出ExpNet,这是一种用于实现现实的音频驱动的说话头视频生成的新框架.
- 解决现有方法在表达现实主义和唇部同步方面的局限性.
- 为了提高产生的视频的质量,特别是在夸张的表达和情感变化下.
主要方法:
- 使用基于变压器的表达式回归框架 (ExpNet) 使用3DMM系数.
- 实现了一个有条件的变化自编码器 (VAE) 用于头部姿势系数生成.
- 采用CNN-变压器架构,基于ALiBi的相对位置偏差来进行表达系数回归,条件为第一个.
主要成果:
- 在表达现实主义,唇部同步和多个数据集 (HDTF,MEAD,LRS3) 的视频质量方面,ExpNet表现出了比现有方法更好的性能.
- 除研究证实了ALiBi,里程碑式监督和变压器模块对于时间稳定性和减少唇部的重要性.
- 该框架成功地在整个生成的视频中保留了身份和情感的一致性.
结论:
- ExpNet通过将头部运动与面部表情脱而出,有效地生成高质量的说话头部视频.
- 与以前的方法相比,拟议的方法在现实性和同步性方面提供了显著的改进.
- 像ALiBi和变压器模块这样的关键组件对于强大的和一致的面部动画至关重要.
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