Regularized Training of Intermediate Layers for Generative Models for Inverse Problems

8 March 2022

Papers citing "Regularized Training of Intermediate Layers for Generative Models for Inverse Problems"

8 / 8 papers shown

Title
Theoretical Perspectives on Deep Learning Methods in Inverse Problems Jonathan Scarlett Reinhard Heckel M. Rodrigues Paul Hand Yonina C. Eldar AI4CE 27 28 0 29 Jun 2022
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
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
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 64 36 0 18 Mar 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 194 540 0 08 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 294 10,354 0 12 Dec 2018
Latent Convolutional Models ShahRukh Athar E. Burnaev Victor Lempitsky DRL BDL SSL 42 19 0 16 Jun 2018
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior L. Mosser O. Dubrule M. Blunt GAN AI4CE 89 206 0 10 Jun 2018