Rethinking Graph Convolution for 2D-to-3D Hand Pose Lifting

Chanyoung Kim, Donghyun Kim, Dong-Hyun Sim +2

Graph convolutional networks (GCNs) are widely used for 3D hand pose estimation, where the hand skeleton is encoded as a fixed adjacency graph. We revisit whether this is the most…