Space-Time-Separable Graph Convolutional Network for Pose Forecasting

1 code implementation • ICCV 2021 • Theodoros Sofianos, Alessio Sampieri, Luca Franco, Fabio Galasso

For the first time, STS-GCN models the human pose dynamics only with a graph convolutional network (GCN), including the temporal evolution and the spatial joint interaction within a single-graph framework, which allows the cross-talk of motion and spatial correlations.

Human Pose Forecasting STS +2