PoseD-Flow: Versatile and Guided Flow Matching Model of Human Pose

circle-group.github.io/research/PoseD-Flow Figure 1. PoseD-Flow framework: (top) PoseRFM, a robust human pose prior defined on the product manifold of joints using Riemannian Flow Matching; (bottom): Riemannian D-Flow, a flexible, geometry-aware inversion technique for flow models. Together, they provide a novel approach to solving inverse problems in human pose, achieving results competitive with SotA diffusion models.