Spatial–Temporal Attention-Based Human Dynamics Retrospection
Motivated by impressive success of deep recurrent neural networks (RNNs), sequence-to-sequence (seq2seq) architecture has been widely adapted to tackle human motion prediction.However, forecasting in longer time horizons always leads to implausible human poses or converges to mean poses.To address these challenges, we dig into the root causes and l