Can a single transformer track any human motion without training?

Humanoid-GPT trains a GPT-style transformer on 2 billion motion frames from unified mocap datasets to control full-body humanoid movement. Unlike older MLP-based trackers that struggle with either agility or generalization, this single model tracks complex dynamic behaviors while zero-shot transferring to entirely new motions and tasks—a capability that previously required task-specific retraining.