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相关概念视频

Sleepwalking and Sleep Talking01:17

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Somnambulism, commonly known as sleepwalking, involves individuals engaging in activities ranging from simple walking to more complex behaviors such as driving. Sleepwalking typically occurs during the slow-wave sleep stages 3 and 4 early in the night when the person is not dreaming, contradicting the myth that sleepwalkers are acting out their dreams.
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In 1928, bacteriologist Frederick Griffith worked on a vaccine for pneumonia, which is caused by Streptococcus pneumoniae bacteria. Griffith studied two pneumonia strains in mice: one pathogenic and one non-pathogenic. Only the pathogenic strain killed host mice.
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Microbial communities are dynamic environments where cell lysis releases free DNA into the surroundings. Other cells can take up this extracellular DNA through a process known as transformation.When a cell incorporates this foreign DNA into its genome, resulting in genetic modification, the process is known as transformation. Cells capable of this process are termed competent. Competence can be natural, as observed in certain bacteria and archaea, or artificially induced in the...
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A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
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音频驱动的单图像说话的面部动画与变压器.

Yixin Li1, Xizhong Shen2

  • 1Department of Intelligent Technology, Shanghai Institute of Technology, 100 Haiquan Road, Shanghai, 201418, Fengxian District, China.

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|January 19, 2026
PubMed
概括
此摘要是机器生成的。

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.

关键词:
基于音频的视频生成.表达式回归的表达式回归谈话头的合成方法基于变压器的模型

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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.