Plug-and-Play Methods Provably Converge with Properly Trained Denoisers

Ernest K. Ryu, Jialin Liu, Sicheng Wang +3

Plug-and-play (PnP) is a non-convex framework that integrates modern denoising priors, such as BM3D or deep learning-based denoisers, into ADMM or other proximal algorithms. An adv…