Regularizing linear inverse problems with convolutional neural networks

6 July 2019

Papers citing "Regularizing linear inverse problems with convolutional neural networks"

9 / 9 papers shown

Title
Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Abeer Banerjee S. Singh 112 0 0 27 Nov 2024
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution Tushar Agarwal Nithin Sugavanam Emre Ertin GAN 84 2 0 30 Nov 2022
A review and experimental evaluation of deep learning methods for MRI reconstruction Arghya Pal Yogesh Rathi 3DV 111 47 0 17 Sep 2021
Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors Fahad Shamshad Asif Hanif Ali Ahmed DiffM 33 9 0 13 May 2020
Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation Reinhard Heckel Mahdi Soltanolkotabi 75 81 0 07 May 2020
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators Reinhard Heckel Mahdi Soltanolkotabi DiffM 106 83 0 31 Oct 2019
Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems Oscar Leong W. Sakla GAN 66 7 0 23 Oct 2019
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors Gauri Jagatap Chinmay Hegde 89 74 0 20 Jun 2019
Generative Models for Low-Rank Video Representation and Reconstruction Rakib Hyder M. Salman Asif GAN 74 11 0 25 Feb 2019