Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms

18 March 2021

Papers citing "Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms"

7 / 7 papers shown

Title
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation Hongwei Tan Ziruo Cai Marcelo Pereyra Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb SSL 73 1 0 08 Apr 2024
Enhancing Electrical Impedance Tomography reconstruction using Learned Half-Quadratic Splitting Networks with Anderson Acceleration Guixian Xu Huihui Wang Qingping Zhou 32 2 0 16 Apr 2023
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors Pakshal Bohra Thanh-an Michel Pham Jonathan Dong M. Unser MedIm 21 11 0 18 Mar 2022
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 194 541 0 08 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 294 10,368 0 12 Dec 2018
Regularization by Denoising: Clarifications and New Interpretations E. T. Reehorst Philip Schniter 56 214 0 06 Jun 2018
Inverting The Generator Of A Generative Adversarial Network Antonia Creswell Anil Anthony Bharath GAN 171 338 0 17 Nov 2016