IMPose: Interactive Multi-person Pose Estimation with Dynamic Correction Propagation 事件

IMPose: Interactive Multi-person Pose Estimation with Dynamic Correction Propagation arXiv:2606.04480v1 Announce Type: new Abstract: High-quality dynamic human pose annotation equips AI with precise motion kinematics to enable human behavior mastery, yet remains labor-intensive and time-consuming. Current annotation tools either lack temporal correction propagation or fail in multi-person scenarios, necessitating excessive manual intervention. In this paper, we introduce IMPose, an interactive