QuaterNet: A Quaternion-based Recurrent Model for Human Motion

Understand

Deep learning for predicting or generating 3D human pose sequences is an active research area.

• Previous work regresses either joint rotations or joint positions.
• The former strategy is prone to error accumulation along the kinematic chain, as well as discontinuities when using Euler angle or exponential map parameterizations.
• The latter requires re-projection onto skeleton constraints to avoid bone stretching and invalid configurations.