Task-Aware Compressed Sensing with Generative Adversarial Networks

5 February 2018

Papers citing "Task-Aware Compressed Sensing with Generative Adversarial Networks"

20 / 20 papers shown

Title
Latent Space Imaging Matheus Souza Yidan Zheng Kaizhang Kang Yogeshwar Nath Mishra Qiang Fu Wolfgang Heidrich 65 0 0 09 Jul 2024
Discovering Structure From Corruption for Unsupervised Image Reconstruction Oscar Leong Angela F. Gao He Sun Katherine Bouman 44 5 0 12 Apr 2023
Inverse Problems Leveraging Pre-trained Contrastive Representations Sriram Ravula Georgios Smyrnis Matt Jordan A. Dimakis SSL 45 9 0 14 Oct 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 41 325 0 03 Aug 2021
Regularising Inverse Problems with Generative Machine Learning Models Margaret Duff Neill D. F. Campbell Matthias Joachim Ehrhardt GAN MedIm 29 34 0 22 Jul 2021
Instance-Optimal Compressed Sensing via Posterior Sampling A. Jalal Sushrut Karmalkar A. Dimakis Eric Price 26 51 0 21 Jun 2021
Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning Kehan Qi Yu Gong Xinfeng Liu Xin Liu Hairong Zheng Shanshan Wang 19 3 0 27 Nov 2020
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction Cong Quan Jinjie Zhou Yuanzheng Zhu Yang Chen Shanshan Wang Dong Liang Qiegen Liu DiffM MedIm 27 26 0 14 Aug 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis Constantine Caramanis 21 39 0 16 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 18 521 0 12 May 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 64 36 0 18 Mar 2020
Recovering compressed images for automatic crack segmentation using generative models Yong Huang Haoyu Zhang Hui Li Stephen Wu 19 27 0 06 Mar 2020
Composing Normalizing Flows for Inverse Problems Jay Whang Erik M. Lindgren A. Dimakis TPM 28 50 0 26 Feb 2020
Inference in Multi-Layer Networks with Matrix-Valued Unknowns Parthe Pandit Mojtaba Sahraee-Ardakan S. Rangan P. Schniter A. Fletcher 23 6 0 26 Jan 2020
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models Giannis Daras Augustus Odena Han Zhang A. Dimakis 35 55 0 27 Nov 2019
Bayesian Inference with Generative Adversarial Network Priors Dhruv V. Patel Assad A. Oberai GAN AI4CE 25 17 0 22 Jul 2019
Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables Shaojie Xu Sihan Zeng Justin Romberg GAN DiffM 27 16 0 19 Feb 2019
Reproducing AmbientGAN: Generative models from lossy measurements Mehdi Ahmadi T. Nest M. Abdelnaim Thanh-Dung Le GAN 24 1 0 23 Oct 2018
Compressed Sensing with Deep Image Prior and Learned Regularization Dave Van Veen A. Jalal Mahdi Soltanolkotabi Eric Price S. Vishwanath A. Dimakis 33 178 0 17 Jun 2018
Discriminative Regularization for Generative Models Alex Lamb Vincent Dumoulin Aaron Courville DRL 45 65 0 09 Feb 2016