English(EN) EMODY Flow: Emotion-Aware Audio-Driven Full-Body Motion Generation

EMODY Flow 从音频生成情感感知的全身运动

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-16 04:00

研究人员开发了EMODY Flow，一个用于生成与语音和情感线索同步的全身运动的新颖框架。该系统解决了现有模型中情感条件化经常被低估的局限性。EMODY Flow是一个拥有约3500万参数的轻量级模型，与冻结的Qwen-3 Omni模型集成，并利用其Mimi音频编解码器。它采用两个并行的Diffusion Transformer (DiT) 生成器来生成身体姿势和面部表情，并通过一个辅助情感分类器进行增强，以确保生成运动中独特的情感表达。该框架在BEAT2数据集上实现了手势质量、相关性和多样性的最先进结果，显著优于以前的方法。 AI

影响通过实现由音频驱动的更具表现力和情感共鸣的角色动画，推动了具身AI的发展。

排序理由学术论文，详细介绍了一个新模型及其在基准测试上的表现。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Harsh Kumar Agarwal, Xavier Alameda-Pineda, Olivier Perrotin · 2026-09-16 04:00

EMODY Flow：情感感知音频驱动的全身运动生成

arXiv:2609.16011v1 Announce Type: cross Abstract: Embodied conversational agents require synchronized full-body motion (body gestures and facial expressions) that aligns with speech and emotional state. Omni-modal large language models excel at multimodal understanding but produc…

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EMODY Flow：情感感知音频驱动的全身运动生成

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