Synthesizing controllable motion for a character using deep learning has been promising approach due to its potential learn compact model without laborious feature engineering. To produce dynamic from weak control signals such as desired paths, existing methods often require auxiliary information phases alleviating ambiguity, which limits their generalisation capability. As past poses contain u...