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Solving Inverse Problems by Joint Posterior Maximization with
  Autoencoding Prior

Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior

2 March 2021
Mario González
Andrés Almansa
Pauline Tan
ArXivPDFHTML

Papers citing "Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior"

8 / 8 papers shown
Title
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems
Matthias Chung
B. Peters
Michael Solomon
34
0
0
10 May 2025
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN
  sampler
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler
Jiayu Qian
Yuanyuan Liu
Jingya Yang
Qingping Zhou
23
0
0
24 Oct 2023
Estimating a potential without the agony of the partition function
Estimating a potential without the agony of the partition function
E. Haber
Moshe Eliasof
L. Tenorio
30
2
0
19 Aug 2022
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative
  Priors
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
Generalized Normalizing Flows via Markov Chains
Generalized Normalizing Flows via Markov Chains
Paul Hagemann
J. Hertrich
Gabriele Steidl
BDL
DiffM
AI4CE
27
22
0
24 Nov 2021
Gradient Step Denoiser for convergent Plug-and-Play
Gradient Step Denoiser for convergent Plug-and-Play
Samuel Hurault
Arthur Leclaire
Nicolas Papadakis
33
93
0
07 Oct 2021
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
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
Regularization by Denoising: Clarifications and New Interpretations
Regularization by Denoising: Clarifications and New Interpretations
E. T. Reehorst
Philip Schniter
56
214
0
06 Jun 2018
1