AIBullisharXiv – CS AI · 14h ago7/10
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PnP-CM: Consistency Models as Plug-and-Play Priors for Inverse Problems
Researchers introduce PnP-CM, a new method that reformulates consistency models as proximal operators within plug-and-play frameworks for solving inverse problems. The approach achieves high-quality image reconstructions with minimal neural function evaluations (4 NFEs), demonstrating practical efficiency gains over existing consistency model solvers and marking the first application of CMs to MRI data.