One for All, All for One: Coordinated Multi-Agent Diffusion Steering via Stochastic Optimal Control

Deep generative models often produce structured outputs composed of interacting components. Modelling these outputs with a single model requires learning both the component distributions and their interactions. We pursue a modular alternative: reuse independently trained component generators and lea