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SeMoCo: A Semantic-First Motion Codec for Motion Language Modeling

arXiv · AI, language, vision and robotics · article · Aug 25, 2026 · UTC

Discrete motion representations have substantially advanced autoregressive text-to-motion generation. However, most motion tokenizers are optimized for reconstruction and do not explicitly allocate capacity according to semantic role. Action-level meaning and fine-grained kinematic detail must therefore be encoded through the same reconstruction-driven hierarchy. We introduce SeMoCo, a semantic-first motion codec, together with a dual-axis motion generator for language-conditioned motion generation. Each motion token contains one semantic token and a residual sequence of kinematic tokens. The

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Evidence & attribution

arXiv · AI, language, vision and robotics · 2026-08-25T09:58:20.000Z

First collected: 2026-09-21T10:02:02.728Z. This is not the publication date.