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Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University
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By modeling human motion on Riemannian manifolds, RMG achieves state-of-the-art generation fidelity, suggesting geometry-aware modeling is key to scalable, high-quality motion synthesis.