most citedPlug-and-Play Methods Provably Converge with Properly Trained Denoisers

101 citations · 116 across the 3 of their papers we have counts for

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cs.CV2019★ 15 cited

Segmentation-Aware Image Denoising without Knowing True Segmentation

Sicheng Wang, Bihan Wen, Junru Wu +2

Several recent works discussed application-driven image restoration neural networks, which are capable of not only removing noise in images but also preserving their semantic-aware…

cs.CV2019★ 101 cited

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…