69 citations · 70 across the 3 of their papers we have counts for
3 papers
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent
Rita Fermanian, Mikael Le Pendu, Christine Guillemot
The Plug-and-Play (PnP) framework makes it possible to integrate advanced image denoising priors into optimization algorithms, to efficiently solve a variety of image restoration t…
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration
Mikael Le Pendu, Christine Guillemot
Plug-and-Play optimization recently emerged as a powerful technique for solving inverse problems by plugging a denoiser into a classical optimization algorithm. The denoiser accoun…
A Fourier Disparity Layer representation for Light Fields
Mikael Le Pendu, Christine Guillemot, Aljosa Smolic
In this paper, we present a new Light Field representation for efficient Light Field processing and rendering called Fourier Disparity Layers (FDL). The proposed FDL representation…