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Unlock motion generation from any combination of text, speech, music, and trajectory inputs with AnyMo, a unified model trained on a massive new multimodal dataset.
Decomposing inputs into functional components lets you spot subtle, compositional anomalies that global or patch-based OOD detectors miss.
Decoupling high-level reasoning from low-level motor control in egocentric motion generation yields surprisingly realistic and controllable human movements.
