组合:共音整体3D人类运动生成和高效的可定制适应在和
IEEE transactions on pattern analysis and machine intelligence
|September 9, 2025
概括
本研究介绍了Combo,这是一个用于从语音生成3D人类运动的框架. 它有效地适应动作生成以实现可定制的身份和情感,克服多个输入-多个输出挑战.
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:
- 生成现实的3D人类运动与语音同步是复杂的.
- 现有的模型在与多个输入 (语音,身份,情感) 和协调面部/身体运动方面扎.
研究的目的:
- 提出一个新的框架,Combo,为和的共同言语3D人类运动生成.
- 为了使生成的动作能够有效和可定制地适应身份和情感.
主要方法:
- 引入了对中性数据的预训练策略,随后通过新型X-Adapter进行微调,以实现高效的适应.
- 开发了DU-Trans,这是一个变压器架构,它为面部和身体运动分支,然后合并用于协调预测.
主要成果:
- 组合有效地产生高质量的,整体的3D人类运动与语音同步.
- 该框架在调整动作以适应不同的身份和情绪方面表现出了效率.
结论:
- 组合解决了在运动生成中的MIMO挑战.
- 提出的方法为共同语音运动合成提供了强大的和可适应的解决方案.
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