A novel Hybrid Regressor (HYRE) that combines parametric and non-parametric paradigms for 3D human pose and shape estimation, bridging the gap between physically plausible and pixel-aligned results through joint learning.
Dec 25, 2024
An Interweaved Graph and Attention Network (IGANet) for 3D human pose estimation that enables bidirectional communication between GCNs and attentions, capturing both global and local correlations in human skeleton representations.
Jun 4, 2023
A Graph-Aware Transformer (GATOR) framework for 3D human mesh recovery from 2D pose, combining Graph-Aware Transformer encoder and Motion-Disentangled Regression decoder to capture joint-joint, joint-vertex, and vertex-vertex relations.
Jun 4, 2023