Towards Efficient 3D Human Motion Prediction using Deformable Transformer-based Adversarial Network
Yu Hua,Fan Xuanzhe,Hou Yaqing,Liu Yi,Kang Cai,Zhou Dongsheng,Zhang Qiang,Yu Hua,Fan Xuanzhe,Hou Yaqing,Liu Yi,Kang Cai,Zhou Dongsheng,Zhang Qiang
Human motion prediction is a crucial step for achieving human-robot interactions. While recent transformer-based methods have shown great potentials in 3D human motion prediction, they still suffer from mode collapse to non-plausible poses and quadratically computational complexity with respect to the increasing length of input sequences. In this paper, we propose a novel spatio-temporal deformabl...
