Danilo Pezzi
YOU?
Author Swipe
View article: Algorithmic unfolding for image reconstruction and localization problems in fluorescence microscopy
Algorithmic unfolding for image reconstruction and localization problems in fluorescence microscopy Open
We propose an unfolded accelerated projected-gradient descent procedure to estimate model and algorithmic parameters for image super-resolution and molecule localization problems in image microscopy. The variational lower-level constraint …
View article: Denoising Diffusion Models on Model-Based Latent Space
Denoising Diffusion Models on Model-Based Latent Space Open
With the recent advancements in the field of diffusion generative models, it has been shown that defining the generative process in the latent space of a powerful pretrained autoencoder can offer substantial advantages. This approach, by a…
View article: On an iteratively reweighted linesearch based algorithm for nonconvex composite optimization
On an iteratively reweighted linesearch based algorithm for nonconvex composite optimization Open
In this paper we propose a new algorithm for solving a class of nonsmooth nonconvex problems, which is obtained by combining the iteratively reweighted scheme with a finite number of forward–backward iterations based on a linesearch proced…
View article: Explainable bilevel optimization: An application to the Helsinki deblur challenge
Explainable bilevel optimization: An application to the Helsinki deblur challenge Open
In this paper we present a bilevel optimization scheme for the solution of a general image deblurring problem, in which a parametric variational-like approach is encapsulated within a machine learning scheme to provide a high quality recon…
View article: Explainable bilevel optimization: an application to the Helsinki deblur challenge
Explainable bilevel optimization: an application to the Helsinki deblur challenge Open
In this paper we present a bilevel optimization scheme for the solution of a general image deblurring problem, in which a parametric variational-like approach is encapsulated within a machine learning scheme to provide a high quality recon…
View article: Learning the Image Prior by Unrolling an Optimization Method
Learning the Image Prior by Unrolling an Optimization Method Open
Nowadays neural networks are omnipresent thanks to the amazing adaptability they possess, despite their poor interpretability and the difficulties they give when manipulating the parameters. On the other side, we have the classical variati…