Collecting large datasets for investigations into human locomotion is an expensive and labor-intensive process. Methods for 3D human pose estimation in the wild are becoming increasingly accurate and ...

Recently, various Graph Convolution Networks (GCNs) have been developed to represent the human skeleton using dynamic graph structures, enhancing the flexibility of node feature aggregation. However, ...