LIMMT: Less is More for Motion Tracking

Yu Guan, Zekun Qi, Chenghuai Lin +7

We argue that high-quality motion data can steer tracking policies toward better optimization trajectories early in training. In this work, we introduce LIMMT (Less Is More for Mot…