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math.OC2025
Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms
Matthieu Kowalski, Benoît Malézieux, Thomas Moreau +1
In this work we study the behavior of the forward-backward (FB) algorithm when the proximity operator is replaced by a sub-iterative procedure to approximate a Gaussian denoiser, i…
math.OC2024
A lifted Bregman strategy for training unfolded proximal neural network Gaussian denoisers
Xiaoyu Wang, Martin Benning, Audrey Repetti
Unfolded proximal neural networks (PNNs) form a family of methods that combines deep learning and proximal optimization approaches. They consist in designing a neural network for a…