Physical Fidelity Reconstruction via Improved Consistency-Distilled Flow Matching for Dynamical Systems
arXiv:2605.05975v1 Announce Type: new
Abstract: Reconstructing high-fidelity flow fields from low-fidelity observations is a central problem in scientific machine learning, yet recent diffusion and flow-matching models typically rely on iterative samp…