We propose STAR, a realistic human body with a learned set of sparse and spatially local pose corrective blend shapes. STAR addresses many of the drawbacks of the widely used SMPL model despite having an order of magnitude fewer parameters. The code released includes the model implementation in Tensorflow, PyTorch, and Chumpy.