20 citations · 35 across the 3 of their papers we have counts for
3 papers
Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution
Charles Laroche, Andrés Almansa, Eva Coupete
Using diffusion models to solve inverse problems is a growing field of research. Current methods assume the degradation to be known and provide impressive results in terms of resto…
Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring Spatially Varying Kernels
Charles Laroche, Andrés Almansa, Eva Coupeté +1
Plug & Play methods combine proximal algorithms with denoiser priors to solve inverse problems. These methods rely on the computability of the proximal operator of the data fidelit…
Deep Model-Based Super-Resolution with Non-uniform Blur
Charles Laroche, Andrés Almansa, Matias Tassano
We propose a state-of-the-art method for super-resolution with non-uniform blur. Single-image super-resolution methods seek to restore a high-resolution image from blurred, subsamp…