Projected Energy Matching for Generative 3D Priors
Projected Energy Matching enhances generative 3D priors by combining flow model efficiency with explicit energy-based likelihood. It solves structural conflicts between conservative potentials and unconstrained velocity fields using Helmholtz Distillation to isolate rotational noise into an auxiliary network. This results in a scalable framework that achieves high-fidelity 3D reconstructions for medical inverse problems with significant computational speedup.