Rethinking Graph Convolution for 2D-to-3D Hand Pose Lifting
arXiv:2605.13604v1 Announce Type: new
Abstract: 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 effective way to incorp…