Scaling behavior of HiPHI for humanoid tracking

Scaling behavior of HiPHI for humanoid tracking

Increasing the amount of unmirrored HiPHI training data from 3 to 300 hours consistently reduces cross-dataset MPJPE on AMASS, BONES-SEED, Motion-X++, and LAFAN1, demonstrating continuous performance gains with increasing data scale.

Format

JPEG

Source

Noitom Robotics

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