1. Dgformer: Dynamic graph transformer for 3D human pose estimation;Chen;Pattern Recognit.,2024
2. JoyPose: Jointly learning evolutionary data augmentation and anatomy-aware global–local representation for 3D human pose estimation;Du;Pattern Recognit.,2024
3. Y. Zhang, M.J. Black, S. Tang, We are More than Our Joints: Predicting how 3D Bodies Move, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021, pp. 3372–3382.
4. Total capture: A 3D deformation model for tracking faces, hands, and bodies;Joo,2018
5. CLIFF: Carrying location information in full frames into human pose and shape estimation;Li,2022