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1907.03100
Cited By
Regularizing linear inverse problems with convolutional neural networks
6 July 2019
Reinhard Heckel
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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
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