Mesh Represented Recycle Learning for 3D Hand Pose and Mesh Estimation

no code implementations • 18 Oct 2023 • Bosang Kim, Jonghyun Kim, Hyotae Lee, Lanying Jin, Jeongwon Ha, Dowoo Kwon, Jungpyo Kim, Wonhyeok Im, KyungMin Jin, Jungho Lee

To this end, we propose a mesh represented recycle learning strategy for 3D hand pose and mesh estimation which reinforces synthesized hand mesh representation in a training phase.

Hand Pose Estimation

Hybrid model for Single-Stage Multi-Person Pose Estimation

no code implementations • 2 May 2023 • Jonghyun Kim, Bosang Kim, Hyotae Lee, Jungpyo Kim, Wonhyeok Im, Lanying Jin, Dowoo Kwon, Jungho Lee

In general, human pose estimation methods are categorized into two approaches according to their architectures: regression (i. e., heatmap-free) and heatmap-based methods.

Multi-Person Pose Estimation Quantization +1