HybrIK provides a neural network solution for 3D human pose estimation that combines analytical inverse kinematics with learned neural components. The method estimates body mesh and joint positions using the SMPL body model. It achieves state-of-the-art results on 3D human pose estimation benchmarks by leveraging both analytical solutions for geometric constraints and neural networks for learning complex pose-shape relationships.