POCO: 3D Pose and Shape Estimation using Confidence | Dimitris Tzionas | Buobe
POCO: 3D Pose and Shape Estimation using Confidence | Dimitris Tzionas
Buobe IA context · why it matters
POCO estimates both 3D body pose and per-sample variance — This allows downstream tasks to differentiate accurate from inaccurate predictions.
Introduces Dual Conditioning Strategy (DCS) for regressing uncertainty — Enhances the accuracy of 3D pose estimation by correlating uncertainty with reconstruction quality.
Fique de olho
Improved confidence in 3D human pose and shape estimates will boost reliability in applications like action recognition.
