Invertible generative models for inverse problems: mitigating representation error and dataset bias

28 May 2019

Papers citing "Invertible generative models for inverse problems: mitigating representation error and dataset bias"

45 / 95 papers shown

Title
A Note on the Regularity of Images Generated by Convolutional Neural Networks Andreas Habring M. Holler GAN 11 3 0 22 Apr 2022
Music Source Separation with Generative Flow Ge Zhu Jordan Darefsky Fei Jiang A. Selitskiy Z. Duan 21 6 0 19 Apr 2022
Conditional Injective Flows for Bayesian Imaging AmirEhsan Khorashadizadeh K. Kothari Leonardo Salsi Ali Aghababaei Harandi Maarten V. de Hoop Ivan Dokmanić MedIm 26 16 0 15 Apr 2022
LiP-Flow: Learning Inference-time Priors for Codec Avatars via Normalizing Flows in Latent Space Emre Aksan Shugao Ma Akin Caliskan Stanislav Pidhorskyi Alexander Richard S. Wei Jason M. Saragih Otmar Hilliges 3DH 16 1 0 15 Mar 2022
Regularized Training of Intermediate Layers for Generative Models for Inverse Problems Sean Gunn Jorio Cocola Paul Hand GAN 26 2 0 08 Mar 2022
Prior image-based medical image reconstruction using a style-based generative adversarial network Varun A. Kelkar M. Anastasio GAN MedIm 19 4 0 17 Feb 2022
Ultrasound Speckle Suppression and Denoising using MRI-derived Normalizing Flow Priors Vincent van de Schaft Ruud J. G. van Sloun OOD MedIm 18 6 0 24 Dec 2021
Bayesian neural network priors for edge-preserving inversion Chen Li Matthew M. Dunlop G. Stadler 20 12 0 20 Dec 2021
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models Dongzhuo Li MedIm 38 2 0 07 Dec 2021
Generative Flows as a General Purpose Solution for Inverse Problems J. Chávez AI4CE 15 1 0 25 Oct 2021
Inverse Problems Leveraging Pre-trained Contrastive Representations Sriram Ravula Georgios Smyrnis Matt Jordan A. Dimakis SSL 35 9 0 14 Oct 2021
Deep Bayesian inference for seismic imaging with tasks Ali Siahkoohi G. Rizzuti Felix J. Herrmann BDL UQCV 40 21 0 10 Oct 2021
Score-based diffusion models for accelerated MRI Hyungjin Chung Jong Chul Ye DiffM MedIm 54 401 0 08 Oct 2021
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology Rahul Ghosh Arvind Renganathan Kshitij Tayal Xiang Li A. Khandelwal X. Jia C. Duffy J. Neiber Vipin Kumar 39 23 0 14 Sep 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 41 322 0 03 Aug 2021
Instance-Optimal Compressed Sensing via Posterior Sampling A. Jalal Sushrut Karmalkar A. Dimakis Eric Price 26 51 0 21 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 30 118 0 12 Jun 2021
Inverse design of two-dimensional materials with invertible neural networks Victor Fung Jiaxin Zhang Guoxiang Hu P. Ganesh B. Sumpter 28 41 0 06 Jun 2021
Learning Generative Prior with Latent Space Sparsity Constraints Vinayak Killedar P. Pokala C. Seelamantula 24 3 0 25 May 2021
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers Yilmaz Korkmaz S. Dar Mahmut Yurt Muzaffer Özbey Tolga Çukur ViT MedIm 27 190 0 15 May 2021
X2CT-FLOW: Maximum a posteriori reconstruction using a progressive flow-based deep generative model for ultra sparse-view computed tomography in ultra low-dose protocols Hisaichi Shibata S. Hanaoka Y. Nomura Takahiro Nakao T. Takenaga Naoto Hayashi O. Abe MedIm 19 1 0 09 Apr 2021
OGGN: A Novel Generalized Oracle Guided Generative Architecture for Modelling Inverse Function of Artificial Neural Networks Mohammad Aaftab Mansi Sharma 30 1 0 08 Apr 2021
Provable Compressed Sensing with Generative Priors via Langevin Dynamics Thanh V. Nguyen Gauri Jagatap C. Hegde GAN 33 12 0 25 Feb 2021
Prior Image-Constrained Reconstruction using Style-Based Generative Models Varun A. Kelkar M. Anastasio 21 29 0 24 Feb 2021
Generator Surgery for Compressed Sensing Niklas Smedemark-Margulies Jung Yeon Park Max Daniels Rose Yu Jan-Willem van de Meent Paul Hand GAN MedIm 24 6 0 22 Feb 2021
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models Giannis Daras Joseph Dean A. Jalal A. Dimakis DRL 191 83 0 15 Feb 2021
Regularization via deep generative models: an analysis point of view Thomas Oberlin Mathieu Verm GAN 19 8 0 21 Jan 2021
Large-Scale Generative Data-Free Distillation Liangchen Luo Mark Sandler Zi Lin A. Zhmoginov Andrew G. Howard 21 43 0 10 Dec 2020
Bayesian Image Reconstruction using Deep Generative Models Razvan Marinescu Daniel Moyer Polina Golland OOD DiffM 23 39 0 08 Dec 2020
On hallucinations in tomographic image reconstruction Sayantan Bhadra Varun A. Kelkar F. Brooks M. Anastasio 22 98 0 01 Dec 2020
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model Zhuonan He Yikun Zhang Yu Guan S. Niu Yi Zhang Yang Chen Qiegen Liu DiffM MedIm 33 12 0 27 Sep 2020
DeepInit Phase Retrieval M. Reiche P. Jung 27 3 0 16 Jul 2020
Compressed Sensing via Measurement-Conditional Generative Models Kyungsu Kim J. H. Lee Eunho Yang GAN MedIm 30 3 0 02 Jul 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis C. Caramanis 21 39 0 16 Jun 2020
Image Restoration from Parametric Transformations using Generative Models Kalliopi Basioti G. Moustakides DiffM GAN 17 5 0 27 May 2020
Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors Fahad Shamshad Asif Hanif Ali Ahmed DiffM 6 8 0 13 May 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 64 36 0 18 Mar 2020
Class-Specific Blind Deconvolutional Phase Retrieval Under a Generative Prior Fahad Shamshad Ali Ahmed 12 1 0 28 Feb 2020
Composing Normalizing Flows for Inverse Problems Jay Whang Erik M. Lindgren A. Dimakis TPM 26 50 0 26 Feb 2020
Deep S $^3$ PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models Christopher A. Metzler Gordon Wetzstein 20 11 0 14 Feb 2020
Reducing the Representation Error of GAN Image Priors Using the Deep Decoder Max Daniels Paul Hand Reinhard Heckel GAN 22 2 0 23 Jan 2020
Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models Lukasz Struski M. Sadowski Tomasz Danel Jacek Tabor Igor T. Podolak DiffM 25 7 0 06 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 297 10,368 0 12 Dec 2018
Latent Convolutional Models ShahRukh Athar E. Burnaev Victor Lempitsky DRL BDL SSL 42 19 0 16 Jun 2018
Blind Image Deconvolution using Deep Generative Priors Muhammad Asim Fahad Shamshad Ali Ahmed 45 94 0 12 Feb 2018