SOURCE-LINKED INTELLIGENCE
Multi-Modal Controlled Coherent Motion Generation
It is natural for humans to walk and talk simultaneously. This paper tackles the challenge of replicating such natural behaviors in 3D avatar motion generation driven by concurrent multimodal inputs, such as a text description of a man walking alongside speech audio. Existing methods, constrained by the scarcity of aligned multimodal data, typically combine motions from individual modalities sequentially or through weighted sums. However, they often result in mismatched or unrealistic movements. To overcome these limitations, we propose MOCO, a novel diffusion-based framework capable of proces
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T12:10:00.000Z
First collected: 2026-09-20T19:02:05.452Z. This is not the publication date.