SMART: SMPLest-X Mesh Adaptation and RAFT Tracking for Soccer Pose Estimation 事件

SMART: SMPLest-X Mesh Adaptation and RAFT Tracking for Soccer Pose Estimation arXiv:2605.31551v1 Announce Type: new Abstract: We present our approach to the FIFA Skeletal Tracking Challenge 2026, which requires estimating 3D world-space poses of soccer players from broadcast video. Our method finetunes SMPLest-X (ViT-H, 687 M parameters) via a stratified clip split, multi-task depth supervision, and broadcast augmentation, paired with a RAFT dense optical flow camera tracker, foot-plane anchori