April 2, 2024, 7:47 p.m. | Jihua Peng, Yanghong Zhou, P. Y. Mok

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.00658v1 Announce Type: new
Abstract: This paper presents a novel Kinematics and Trajectory Prior Knowledge-Enhanced Transformer (KTPFormer), which overcomes the weakness in existing transformer-based methods for 3D human pose estimation that the derivation of Q, K, V vectors in their self-attention mechanisms are all based on simple linear mapping. We propose two prior attention modules, namely Kinematics Prior Attention (KPA) and Trajectory Prior Attention (TPA) to take advantage of the known anatomical structure of the human body and motion trajectory …

arxiv cs.cv human knowledge prior trajectory transformer type

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