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By reconstructing 3D sensor layouts from UWB distances, Ultra Diffusion Poser achieves a 22% reduction in joint position error, revolutionizing motion tracking accuracy.
Frequency-Weighted Neural Kalman Filters achieve up to 10% reduction in localization error by effectively suppressing noise in critical frequency bands.
