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English(EN) MindFlow: Harmonizing Cognitive Semantics and Acoustic Dynamics for Facial Animation Generation in Dyadic Conversations

MindFlow框架通过双通路方法生成逼真的面部动画

研究人员推出MindFlow,一个用于在对话中创建逼真面部动画的新型生成框架。MindFlow受神经科学启发,采用双通路方法来平衡认知意图和运动反射。该框架将语义推理分离到一个“腹侧模块”(对声学流建模为不断变化的情绪状态)和一个“背侧模块”(使用声学线索和情绪调制生成高保真面部运动)。 AI

影响 这项研究可能带来更逼真的虚拟化身和改善对话式AI中的人机交互。

排序理由 该集群描述了一篇详细介绍用于面部动画生成的新型框架的新研究论文。

在 arXiv cs.CV 阅读 →

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MindFlow框架通过双通路方法生成逼真的面部动画

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该集群描述了一篇详细介绍用于面部动画生成的新型框架的新研究论文。
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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Hejia Chen, Haoxian Zhang, Xu He, Xiaoqiang Liu, Pengfei Wan, Shoulong Zhang, Shuai Li ·

    MindFlow:为双向对话中的面部动画生成协调认知语义和声学动力学

    arXiv:2606.27779v1 Announce Type: new Abstract: Generating lifelike facial animation for dyadic conversations requires reconciling high-level cognitive intent with precise low-level motor reflexes, yet existing methods fall short in the semantic understanding of dialogue context …

  2. arXiv cs.CV TIER_1 English(EN) · Shuai Li ·

    MindFlow:为双人对话中的面部动画生成协调认知语义与声学动力学

    Generating lifelike facial animation for dyadic conversations requires reconciling high-level cognitive intent with precise low-level motor reflexes, yet existing methods fall short in the semantic understanding of dialogue context and in precise dynamic control. In this paper, w…