SMPLer: Taming Transformers for Monocular 3D Human Shape and Pose
Estimation
SMPLer: Taming Transformers for Monocular 3D Human Shape and Pose
Estimation
Existing Transformers for monocular 3D human shape and pose estimation typically have a quadratic computation and memory complexity with respect to the feature length, which hinders the exploitation of fine-grained information in high-resolution features that is beneficial for accurate reconstruction. In this work, we propose an SMPL-based Transformer framework (SMPLer) …