2D human pose estimation is the basic content of human pose estimation, mainly by processing and extracting features in the image, then detecting potential human joint points, and finally clustering and modeling the detected joint points. This paper introduces three methods based on coordinate regression method, heat map-based detection method and regression and detection mixed model, and presents a clear and clear presentation of the current research path of 2D human pose estimation.