PARE (Part Attention Regressor) is a computer vision method that estimates 3D human body pose and shape from 2D images using part-level attention mechanisms. Implemented in PyTorch, it handles occlusions robustly and includes demo and evaluation code. The project provides pre-trained models and scripts for running inference on video or image inputs.