Scaling Laws for Human Motion Generation: Data is Key
tw_killian · x · 2026-08-25
Researchers present compute-optimal scaling laws for human motion generation. The field has historically been data-constrained and difficult to scale for production. The team is building the world's largest, high-quality human motion dataset and trained hundreds of models to validate that scaling helps. The study reveals what models learn about physics and human physiology, providing a new theoretical foundation for animators, roboticists, and game developers.
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