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Found 3 papers, 2 papers with code
On the Contractivity of Plug-and-Play Operators
The present work is motivated by the following questions: Can we relax the assumptions on the forward model?
On Exact and Robust Recovery for Plug-and-Play Compressed Sensing
$Ax=A\xi$, where $A$ is a $m\times n$ random sensing matrix, $\Phi$ is the regularizer associated with a linear denoiser $W$, and $\xi$ is the ground-truth.
On Plug-and-Play Regularization using Linear Denoisers
This is typically done by taking a proximal algorithm such as FISTA or ADMM, and formally replacing the proximal map associated with a regularizer by nonlocal means, BM3D or a CNN denoiser.
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