4 citations · 7 across the 8 of their papers we have counts for
8 papers
LatentINDIGO: An INN-Guided Latent Diffusion Algorithm for Image Restoration
Di You, Daniel Siromani, Pier Luigi Dragotti
There is a growing interest in the use of latent diffusion models (LDMs) for image restoration (IR) tasks due to their ability to model effectively the distribution of natural imag…
Trustworthy Image Super-Resolution via Generative Pseudoinverse
Andreas Floros, Seyed-Mohsen Moosavi-Dezfooli, Pier Luigi Dragotti
We consider the problem of trustworthy image restoration, taking the form of a constrained optimization over the prior density. To this end, we develop generative models for the ta…
Reconstructing classes of 3D FRI signals from sampled tomographic projections at unknown angles
Renke Wang, Francien G. Bossema, Thierry Blu +1
Traditional sampling schemes often assume that the sampling locations are known. Motivated by the recent bioimaging technique known as cryogenic electron microscopy (cryoEM), we co…
Enhanced Event-Based Video Reconstruction with Motion Compensation
Siying Liu, Pier Luigi Dragotti
Deep neural networks for event-based video reconstruction often suffer from a lack of interpretability and have high memory demands. A lightweight network called CISTA-LSTC has rec…
CommIN: Semantic Image Communications as an Inverse Problem with INN-Guided Diffusion Models
Jiakang Chen, Di You, Deniz Gündüz +1
Joint source-channel coding schemes based on deep neural networks (DeepJSCC) have recently achieved remarkable performance for wireless image transmission. However, these methods u…
INDigo: An INN-Guided Probabilistic Diffusion Algorithm for Inverse Problems
Di You, Andreas Floros, Pier Luigi Dragotti
Recently it has been shown that using diffusion models for inverse problems can lead to remarkable results. However, these approaches require a closed-form expression of the degrad…