Adversarial Regularizers in Inverse Problems

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Adversarial Regularizers in Inverse Problems

29 May 2018

Carola-Bibiane Schönlieb

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Papers citing "Adversarial Regularizers in Inverse Problems"

15 / 15 papers shown

Title
Approximation theory for 1-Lipschitz ResNets Davide Murari Takashi Furuya Carola-Bibiane Schönlieb 69 0 0 17 May 2025
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups Zakhar Shumaylov Peter Zaika James Rowbottom Ferdia Sherry Melanie Weber Carola-Bibiane Schönlieb 86 6 0 03 Oct 2024
Stability of Data-Dependent Ridge-Regularization for Inverse Problems Sebastian Neumayer Fabian Altekrüger 77 1 0 18 Jun 2024
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods Daniel Otero Baguer Johannes Leuschner Maximilian Schmidt 83 188 0 10 Mar 2020
Learned Primal-dual Reconstruction J. Adler Ozan Oktem MedIm 62 753 0 20 Jul 2017
Solving ill-posed inverse problems using iterative deep neural networks J. Adler Ozan Oktem 85 617 0 13 Apr 2017
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems Tim Meinhardt Michael Möller C. Hazirbas Daniel Cremers 63 356 0 11 Apr 2017
Learning a Variational Network for Reconstruction of Accelerated MRI Data Kerstin Hammernik Teresa Klatzer Erich Kobler M. Recht D. Sodickson Thomas Pock Florian Knoll 75 1,544 0 03 Apr 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 227 9,558 0 31 Mar 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 152 810 0 09 Mar 2017
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction Jo Schlemper Jose Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert 110 348 0 01 Mar 2017
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 71 2,122 0 11 Nov 2016
The Little Engine that Could: Regularization by Denoising (RED) Yaniv Romano Michael Elad P. Milanfar DiffM 81 804 0 09 Nov 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,341 0 18 May 2015
Bilevel approaches for learning of variational imaging models L. Calatroni C. Chung J. D. L. Reyes Carola-Bibiane Schönlieb T. Valkonen 120 92 0 08 May 2015

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