Abstract. State-of-the-art human pose estimation methods are based
on heat map representation. In spite of the good performance, the representation has a few issues in nature, such as non-differentiable postprocessing and quantization error. This work shows that a simple integral
operation relates and unifies the heat map representation and joint regression, thus avoiding the above issues. It is differentiable, efficient, and
compatible with any heat map based methods. Its effectiveness is convincingly validated via comprehensive ablation experiments under various settings, specifically on 3D pose estimation, for the first time