Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation

1 code implementation • ICCV 2021 • Ziniu Wan, Zhengjia Li, Maoqing Tian, Jianbo Liu, Shuai Yi, Hongsheng Li

To this end, we propose Multi-level Attention Encoder-Decoder Network (MAED), including a Spatial-Temporal Encoder (STE) and a Kinematic Topology Decoder (KTD) to model multi-level attentions in a unified framework.

3D Absolute Human Pose Estimation