AnyMo uses physics-grounded IMU simulation over dense body placements, graph encoder pre-training, and LLM alignment to enable setup-agnostic motion modeling, reporting gains on zero-shot HAR, retrieval, and captioning across datasets.
Skeletonmae: graph- based masked autoencoder for skeleton sequence pre-training
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AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild
AnyMo uses physics-grounded IMU simulation over dense body placements, graph encoder pre-training, and LLM alignment to enable setup-agnostic motion modeling, reporting gains on zero-shot HAR, retrieval, and captioning across datasets.