Bayesian Inference with Generative Adversarial Network Priors

22 July 2019

Papers citing "Bayesian Inference with Generative Adversarial Network Priors"

28 / 28 papers shown

Title
Deep Compressed Sensing Yan Wu Mihaela Rosca Timothy Lillicrap GAN 72 165 0 16 May 2019
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 237 5,381 0 28 Sep 2018
Adversarial Regularizers in Inverse Problems Sebastian Lunz Ozan Oktem Carola-Bibiane Schönlieb GAN MedIm 79 219 0 29 May 2018
An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks Rushil Anirudh Jayaraman J. Thiagarajan B. Kailkhura T. Bremer GAN 52 37 0 18 May 2018
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees Viraj Shah Chinmay Hegde GAN 89 166 0 23 Feb 2018
Task-Aware Compressed Sensing with Generative Adversarial Networks Maya Kabkab Pouya Samangouei Rama Chellappa GAN 68 78 0 05 Feb 2018
MaskGAN: Better Text Generation via Filling in the______ W. Fedus Ian Goodfellow Andrew M. Dai 75 470 0 23 Jan 2018
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs Ting-Chun Wang Ming-Yuan Liu Jun-Yan Zhu Andrew Tao Jan Kautz Bryan Catanzaro SSeg 161 3,932 0 30 Nov 2017
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks Orest Kupyn Volodymyr Budzan Mykola Mykhailych Dmytro Mishkin Jirí Matas 3DV 74 1,459 0 19 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 118 7,339 0 27 Oct 2017
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss Qingsong Yang Pingkun Yan Yanbo Zhang Hengyong Yu Yongyi Shi X. Mou Mannudeep K. Kalra Ge Wang GAN MedIm 61 1,197 0 03 Aug 2017
MoCoGAN: Decomposing Motion and Content for Video Generation Sergey Tulyakov Ming-Yuan Liu Xiaodong Yang Jan Kautz GAN 127 1,145 0 17 Jul 2017
Pose Guided Person Image Generation Liqian Ma Xu Jia Qianru Sun Bernt Schiele Tinne Tuytelaars Luc Van Gool GAN 72 816 0 25 May 2017
Solving ill-posed inverse problems using iterative deep neural networks J. Adler Ozan Oktem 72 617 0 13 Apr 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 169 9,533 0 31 Mar 2017
One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models Jen-Hao Rick Chang Chun-Liang Li Barnabás Póczós B. Kumar Aswin C. Sankaranarayanan 51 348 0 29 Mar 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks Taeksoo Kim Moonsu Cha Hyunsoo Kim Jung Kwon Lee Jiwon Kim GAN OOD 89 1,979 0 15 Mar 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 120 808 0 09 Mar 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 110 529 0 17 Jan 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 308 19,612 0 21 Nov 2016
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 62 2,119 0 11 Nov 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 240 10,674 0 15 Sep 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 72 1,314 0 02 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 628 9,290 0 06 Jun 2015
Transport map accelerated Markov chain Monte Carlo M. Parno Youssef Marzouk OT 80 161 0 17 Dec 2014
Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet T. Isaac N. Petra G. Stadler Omar Ghattas PINN 54 153 0 05 Oct 2014
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 162 4,295 0 18 Nov 2011