Ultra Diffusion Poser improves sparse inertial human pose estimation by reconstructing 3D sensor layouts from UWB ranging measurements and using UWB-Diffusion Guidance in a diffusion model, claiming up to 22% lower joint position error than prior work.
PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting, 2022
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Ultra Diffusion Poser: Diffusion-Based Human Motion Tracking From Sparse Inertial Sensors and Ranging-Based Between-Sensor Distances
Ultra Diffusion Poser improves sparse inertial human pose estimation by reconstructing 3D sensor layouts from UWB ranging measurements and using UWB-Diffusion Guidance in a diffusion model, claiming up to 22% lower joint position error than prior work.