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1904.07457
Cited By
A Bayesian Perspective on the Deep Image Prior
16 April 2019
Zezhou Cheng
Matheus Gadelha
Subhransu Maji
Daniel Sheldon
BDL
UQCV
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Papers citing
"A Bayesian Perspective on the Deep Image Prior"
25 / 25 papers shown
Title
DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration
Suraj Singh
Anastasia Batsheva
Oleg Y. Rogov
Ahmed Bouridane
46
0
0
20 Mar 2025
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
Hongwei Tan
Ziruo Cai
Marcelo Pereyra
Subhadip Mukherjee
Junqi Tang
Carola-Bibiane Schönlieb
SSL
76
1
0
08 Apr 2024
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey
Sébastien Herbreteau
Charles Kervrann
OOD
48
0
0
23 Feb 2024
Deep Internal Learning: Deep Learning from a Single Input
Tom Tirer
Raja Giryes
Se Young Chun
Yonina C. Eldar
36
3
0
12 Dec 2023
Cross-modal Cognitive Consensus guided Audio-Visual Segmentation
Zhaofeng Shi
Qingbo Wu
Fanman Meng
Linfeng Xu
Hongliang Li
VOS
33
3
0
10 Oct 2023
One-Dimensional Deep Image Prior for Curve Fitting of S-Parameters from Electromagnetic Solvers
Sriram Ravula
Varun Gorti
Bo Deng
Swagato Chakraborty
J. Pingenot
B. Mutnury
D. Wallace
D. Winterberg
Adam R. Klivans
A. Dimakis
30
1
0
06 Jun 2023
Discovering Structure From Corruption for Unsupervised Image Reconstruction
Oscar Leong
Angela F. Gao
He Sun
Katherine Bouman
44
5
0
12 Apr 2023
Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior
Javier Antorán
Riccardo Barbano
Johannes Leuschner
José Miguel Hernández-Lobato
Bangti Jin
UQCV
45
10
0
28 Feb 2022
Posterior temperature optimized Bayesian models for inverse problems in medical imaging
M. Laves
Malte Tolle
Alexander Schlaefer
Sandy Engelhardt
45
10
0
02 Feb 2022
Early Stopping for Deep Image Prior
Hengkang Wang
Taihui Li
Zhong Zhuang
Tiancong Chen
Hengyue Liang
Ju Sun
31
63
0
11 Dec 2021
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction
Riccardo Barbano
Johannes Leuschner
Maximilian Schmidt
Alexander Denker
A. Hauptmann
Peter Maass
Bangti Jin
48
19
0
23 Nov 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
Xinlei Zhou
Han Liu
Farhad Pourpanah
T. Zeng
Xizhao Wang
UQCV
UD
29
58
0
03 Nov 2021
Unsupervised PET Reconstruction from a Bayesian Perspective
Chenyu Shen
Wenjun Xia
H. Ye
Mingzheng Hou
Hu Chen
Yan Liu
Jiliu Zhou
Yi Zhang
36
3
0
29 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
NPBDREG: Uncertainty Assessment in Diffeomorphic Brain MRI Registration using a Non-parametric Bayesian Deep-Learning Based Approach
Samah Khawaled
Moti Freiman
UQCV
39
8
0
15 Aug 2021
Simple, Fast, and Flexible Framework for Matrix Completion with Infinite Width Neural Networks
Adityanarayanan Radhakrishnan
George Stefanakis
M. Belkin
Caroline Uhler
35
25
0
31 Jul 2021
On Measuring and Controlling the Spectral Bias of the Deep Image Prior
Prithvijit Chakrabarty
Pascal Mettes
Subhransu Maji
Cees G. M. Snoek
13
60
0
02 Jul 2021
Posterior Sampling for Image Restoration using Explicit Patch Priors
Roy Friedman
Yair Weiss
45
5
0
20 Apr 2021
Unsupervised Shape Completion via Deep Prior in the Neural Tangent Kernel Perspective
Lei Chu
Hao Pan
Wenping Wang
3DPC
34
11
0
19 Apr 2021
Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach
Ali Siahkoohi
G. Rizzuti
Felix J. Herrmann
25
20
0
01 Apr 2020
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
Daniel Otero Baguer
Johannes Leuschner
Maximilian Schmidt
29
186
0
10 Mar 2020
Inferring 3D Shapes from Image Collections using Adversarial Networks
Matheus Gadelha
Aartika Rai
Subhransu Maji
Rui Wang
GAN
12
6
0
11 Jun 2019
DeepRED: Deep Image Prior Powered by RED
G. Mataev
Michael Elad
P. Milanfar
SupR
28
191
0
25 Mar 2019
Regularization by architecture: A deep prior approach for inverse problems
Sören Dittmer
T. Kluth
Peter Maass
Daniel Otero Baguer
35
97
0
10 Dec 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,167
0
06 Jun 2015
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