AI RESEARCH
LingoMotion: An Interpretable and Unambiguous Symbolic Representation for Human Motion
arXiv CS.CV
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ArXi:2603.13578v1 Announce Type: new Existing representations for human motion, such as MotionGPT, often operate as black-box latent vectors with limited interpretability and build on joint positions which can cause ambiguity. Inspired by the hierarchical structure of natural languages - from letters to words, phrases, and sentences - we propose LingoMotion, a motion language that facilitates interpretable and unambiguous symbolic representation for both simple and complex human motion. In this paper, we.