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Generative Models for Low-Rank Video Representation and Reconstruction

Generative Models for Low-Rank Video Representation and Reconstruction

25 February 2019
Rakib Hyder
M. Salman Asif
    GAN
ArXivPDFHTML

Papers citing "Generative Models for Low-Rank Video Representation and Reconstruction"

6 / 6 papers shown
Title
RSR-NF: Neural Field Regularization by Static Restoration Priors for Dynamic Imaging
Berk Iskender
Sushan Nakarmi
Nitin Daphalapurkar
M. Klasky
Y. Bresler
46
0
0
13 Mar 2025
MrSARP: A Hierarchical Deep Generative Prior for SAR Image
  Super-resolution
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution
Tushar Agarwal
Nithin Sugavanam
Emre Ertin
GAN
21
2
0
30 Nov 2022
Latent-space disentanglement with untrained generator networks for the
  isolation of different motion types in video data
Latent-space disentanglement with untrained generator networks for the isolation of different motion types in video data
Abdullah Abdullah
M. Holler
K. Kunisch
Malena Sabaté Landman
DRL
12
1
0
20 May 2022
Compressive sensing with un-trained neural networks: Gradient descent
  finds the smoothest approximation
Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation
Reinhard Heckel
Mahdi Soltanolkotabi
6
79
0
07 May 2020
Time-Dependent Deep Image Prior for Dynamic MRI
Time-Dependent Deep Image Prior for Dynamic MRI
Mikhail O. Chekanov
Kyong Hwan Jin
Harshit Gupta
Jerome Yerly
M. Stuber
M. Unser
MedIm
14
153
0
03 Oct 2019
Inverting The Generator Of A Generative Adversarial Network
Inverting The Generator Of A Generative Adversarial Network
Antonia Creswell
Anil Anthony Bharath
GAN
171
338
0
17 Nov 2016
1