From the 1 of 4 linked papers with an AI index.
4 papers
A Relaxed Gradient Step Denoiser for Splitting Methods in Poisson Inverse Problems
Alessandro Benfenati
The paper introduces a splitting algorithm for Poisson image reconstruction that uses a relaxed gradient‑step denoiser derived from a learned convex potential (implemented with an…
Unveiling Transformer Perception by Exploring Input Manifolds
Alessandro Benfenati, Alfio Ferrara, Alessio Marta +2
This paper introduces a general method for the exploration of equivalence classes in the input space of Transformer models. The proposed approach is based on sound mathematical the…
Plug and Play Splitting Techniques for Poisson Image Restoration
Alessandro Benfenati
Plug and Play (PnP) methods achieve remarkable results in the framework of image restoration problems for Gaussian data. Nonetheless, the theory available for the Gaussian case can…
RELD: Regularization by Latent Diffusion Models for Image Restoration
Pasquale Cascarano, Lorenzo Stacchio, Andrea Sebastiani +3
In recent years, Diffusion Models have become the new state-of-the-art in deep generative modeling, ending the long-time dominance of Generative Adversarial Networks. Inspired by t…