Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems

23 October 2019

Papers citing "Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems"

20 / 20 papers shown

Title
Regularizing linear inverse problems with convolutional neural networks Reinhard Heckel 32 22 0 06 Jul 2019
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors Gauri Jagatap Chinmay Hegde 73 74 0 20 Jun 2019
Image-Adaptive GAN based Reconstruction Shady Abu Hussein Tom Tirer Raja Giryes GAN 60 89 0 12 Jun 2019
Global Guarantees for Blind Demodulation with Generative Priors Paul Hand Babhru Joshi 99 33 0 29 May 2019
Deep Compressed Sensing Yan Wu Mihaela Rosca Timothy Lillicrap GAN 84 166 0 16 May 2019
Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval Rakib Hyder Viraj Shah Chinmay Hegde M. Salman Asif 52 47 0 07 Mar 2019
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks Reinhard Heckel Paul Hand 83 285 0 02 Oct 2018
Robust Compressive Phase Retrieval via Deep Generative Priors Fahad Shamshad Ali Ahmed 38 32 0 17 Aug 2018
Phase Retrieval Under a Generative Prior Paul Hand Oscar Leong V. Voroninski 66 189 0 11 Jul 2018
Compressed Sensing with Deep Image Prior and Learned Regularization Dave Van Veen A. Jalal Mahdi Soltanolkotabi Eric Price S. Vishwanath A. Dimakis 63 181 0 17 Jun 2018
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees Viraj Shah Chinmay Hegde GAN 94 166 0 23 Feb 2018
Blind Image Deconvolution using Deep Generative Priors Muhammad Asim Fahad Shamshad Ali Ahmed 63 96 0 12 Feb 2018
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 122 3,156 0 29 Nov 2017
Optimizing the Latent Space of Generative Networks Piotr Bojanowski Armand Joulin David Lopez-Paz Arthur Szlam GAN 72 418 0 18 Jul 2017
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk Paul Hand V. Voroninski UQCV 138 138 0 22 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 207 9,548 0 31 Mar 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 147 810 0 09 Mar 2017
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 244 8,408 0 28 Nov 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,929 0 20 Dec 2013