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Deep Image Prior

Deep Image Prior

29 November 2017
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
    SupR
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Papers citing "Deep Image Prior"

50 / 426 papers shown
Title
Neural Architecture Search for Deep Image Prior
Neural Architecture Search for Deep Image Prior
Kary Ho
Andrew Gilbert
Hailin Jin
John Collomosse
22
36
0
14 Jan 2020
Deep Image Translation with an Affinity-Based Change Prior for
  Unsupervised Multimodal Change Detection
Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
L. Luppino
Michael C. Kampffmeyer
F. Bianchi
G. Moser
S. Serpico
Robert Jenssen
S. N. Anfinsen
27
102
0
13 Jan 2020
CNN-generated images are surprisingly easy to spot... for now
CNN-generated images are surprisingly easy to spot... for now
Sheng-Yu Wang
Oliver Wang
Richard Y. Zhang
Andrew Owens
Alexei A. Efros
OOD
46
943
0
23 Dec 2019
$Σ$-net: Systematic Evaluation of Iterative Deep Neural Networks
  for Fast Parallel MR Image Reconstruction
ΣΣΣ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction
Kerstin Hammernik
Jo Schlemper
C. Qin
Jinming Duan
Ronald M. Summers
Daniel Rueckert
30
24
0
18 Dec 2019
Unsupervised Adversarial Image Inpainting
Unsupervised Adversarial Image Inpainting
Arthur Pajot
Emmanuel de Bézenac
Patrick Gallinari
SSL
GAN
6
8
0
18 Dec 2019
Image Processing Using Multi-Code GAN Prior
Image Processing Using Multi-Code GAN Prior
Jinjin Gu
Yujun Shen
Bolei Zhou
GAN
30
314
0
15 Dec 2019
J-Net: Randomly weighted U-Net for audio source separation
J-Net: Randomly weighted U-Net for audio source separation
Bo Chen
Yen-Min Hsu
Hung-yi Lee
19
2
0
29 Nov 2019
Fine-grained Attention and Feature-sharing Generative Adversarial
  Networks for Single Image Super-Resolution
Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution
Yitong Yan
Chuangchuang Liu
Changyou Chen
Xianfang Sun
Longcun Jin
Xiang Zhou
GAN
25
51
0
25 Nov 2019
Deep Long Audio Inpainting
Deep Long Audio Inpainting
Ya-Liang Chang
Kuan-Ying Lee
Po-Yu Wu
Hung-yi Lee
Winston H. Hsu
30
33
0
15 Nov 2019
Denoising and Regularization via Exploiting the Structural Bias of
  Convolutional Generators
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators
Reinhard Heckel
Mahdi Soltanolkotabi
DiffM
32
81
0
31 Oct 2019
Noisier2Noise: Learning to Denoise from Unpaired Noisy Data
Noisier2Noise: Learning to Denoise from Unpaired Noisy Data
N. Moran
Dan Schmidt
Yu Zhong
Patrick Coady
22
231
0
25 Oct 2019
Low Shot Learning with Untrained Neural Networks for Imaging Inverse
  Problems
Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems
Oscar Leong
W. Sakla
GAN
14
7
0
23 Oct 2019
Uncertainty Quantification with Generative Models
Uncertainty Quantification with Generative Models
Vanessa Böhm
F. Lanusse
U. Seljak
22
25
0
22 Oct 2019
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Ruth C. Fong
Mandela Patrick
Andrea Vedaldi
AAML
25
411
0
18 Oct 2019
Meta-Learning Deep Energy-Based Memory Models
Meta-Learning Deep Energy-Based Memory Models
Sergey Bartunov
Jack W. Rae
Simon Osindero
Timothy Lillicrap
29
34
0
07 Oct 2019
Overparameterized Neural Networks Implement Associative Memory
Overparameterized Neural Networks Implement Associative Memory
Adityanarayanan Radhakrishnan
M. Belkin
Caroline Uhler
BDL
32
71
0
26 Sep 2019
Nonlocal Patches based Gaussian Mixture Model for Image Inpainting
Nonlocal Patches based Gaussian Mixture Model for Image Inpainting
Wei Wan
Jun Liu
14
9
0
22 Sep 2019
Efficient Continual Learning in Neural Networks with Embedding
  Regularization
Efficient Continual Learning in Neural Networks with Embedding Regularization
Jary Pomponi
Simone Scardapane
Vincenzo Lomonaco
A. Uncini
CLL
36
41
0
09 Sep 2019
Learning Sub-Sampling and Signal Recovery with Applications in
  Ultrasound Imaging
Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging
Iris A. M. Huijben
Bastiaan S. Veeling
K. Janse
M. Mischi
Ruud J. G. van Sloun
16
51
0
15 Aug 2019
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact
  Reduction
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
Haofu Liao
Wei-An Lin
S. Kevin Zhou
Jiebo Luo
MedIm
OOD
33
148
0
03 Aug 2019
Improving the Harmony of the Composite Image by Spatial-Separated
  Attention Module
Improving the Harmony of the Composite Image by Spatial-Separated Attention Module
Xiaodong Cun
Chi-Man Pun
32
131
0
15 Jul 2019
Perceptually Motivated Method for Image Inpainting Comparison
Perceptually Motivated Method for Image Inpainting Comparison
Ivan Molodetskikh
Mikhail Erofeev
D. Vatolin
22
9
0
14 Jul 2019
A Projectional Ansatz to Reconstruction
A Projectional Ansatz to Reconstruction
Sören Dittmer
Peter Maass
14
3
0
10 Jul 2019
Fast and Provable ADMM for Learning with Generative Priors
Fast and Provable ADMM for Learning with Generative Priors
Fabian Latorre Gómez
Armin Eftekhari
V. Cevher
GAN
30
43
0
07 Jul 2019
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors
Gauri Jagatap
C. Hegde
23
70
0
20 Jun 2019
Unsupervised State Representation Learning in Atari
Unsupervised State Representation Learning in Atari
Ankesh Anand
Evan Racah
Sherjil Ozair
Yoshua Bengio
Marc-Alexandre Côté
R. Devon Hjelm
SSL
32
254
0
19 Jun 2019
Neural Volumes: Learning Dynamic Renderable Volumes from Images
Neural Volumes: Learning Dynamic Renderable Volumes from Images
Stephen Lombardi
Tomas Simon
Jason M. Saragih
Gabriel Schwartz
Andreas M. Lehrmann
Yaser Sheikh
3DH
23
278
0
18 Jun 2019
Image-Adaptive GAN based Reconstruction
Image-Adaptive GAN based Reconstruction
Shady Abu Hussein
Tom Tirer
Raja Giryes
GAN
13
89
0
12 Jun 2019
Weight Agnostic Neural Networks
Weight Agnostic Neural Networks
Adam Gaier
David R Ha
OOD
35
239
0
11 Jun 2019
Style Generator Inversion for Image Enhancement and Animation
Style Generator Inversion for Image Enhancement and Animation
Aviv Gabbay
Yedid Hoshen
16
17
0
05 Jun 2019
Machine Learning and System Identification for Estimation in Physical
  Systems
Machine Learning and System Identification for Estimation in Physical Systems
Fredrik Bagge Carlson
OOD
16
5
0
05 Jun 2019
Learning Deep Image Priors for Blind Image Denoising
Learning Deep Image Priors for Blind Image Denoising
Xianxu Hou
Hongming Luo
Jingxin Liu
Bolei Xu
Ke Sun
Yuanhao Gong
Bozhi Liu
Guoping Qiu
27
7
0
04 Jun 2019
Adversarial Robustness as a Prior for Learned Representations
Adversarial Robustness as a Prior for Learned Representations
Logan Engstrom
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Brandon Tran
A. Madry
OOD
AAML
19
63
0
03 Jun 2019
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising
Alexander Krull
Tomáš Vičar
Florian Jug
DiffM
17
165
0
03 Jun 2019
Invertible generative models for inverse problems: mitigating
  representation error and dataset bias
Invertible generative models for inverse problems: mitigating representation error and dataset bias
Muhammad Asim
Max Daniels
Oscar Leong
Ali Ahmed
Paul Hand
20
146
0
28 May 2019
Differentiable Linearized ADMM
Differentiable Linearized ADMM
Xingyu Xie
Jianlong Wu
Zhisheng Zhong
Guangcan Liu
Zhouchen Lin
13
62
0
15 May 2019
SinGAN: Learning a Generative Model from a Single Natural Image
SinGAN: Learning a Generative Model from a Single Natural Image
Tamar Rott Shaham
Tali Dekel
T. Michaeli
GAN
VLM
31
832
0
02 May 2019
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer
  Preserving Augmentation
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation
Jiaming Liu
Chihao Wu
Yuzhi Wang
Qin Xu
Yuqian Zhou
...
Chuan Wang
Shaofan Cai
Yifan Ding
Haoqiang Fan
Jue Wang
28
67
0
29 Apr 2019
One-dimensional Deep Image Prior for Time Series Inverse Problems
One-dimensional Deep Image Prior for Time Series Inverse Problems
Sriram Ravula
A. Dimakis
42
7
0
18 Apr 2019
Controlling Neural Networks via Energy Dissipation
Controlling Neural Networks via Energy Dissipation
Michael Möller
Thomas Möllenhoff
Daniel Cremers
33
17
0
05 Apr 2019
DeepRED: Deep Image Prior Powered by RED
DeepRED: Deep Image Prior Powered by RED
G. Mataev
Michael Elad
P. Milanfar
SupR
23
191
0
25 Mar 2019
Unsupervised Data Imputation via Variational Inference of Deep Subspaces
Unsupervised Data Imputation via Variational Inference of Deep Subspaces
Adrian V. Dalca
John Guttag
M. Sabuncu
DRL
23
13
0
08 Mar 2019
Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure
Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure
Been Kim
Emily Reif
Martin Wattenberg
Samy Bengio
Michael C. Mozer
31
30
0
04 Mar 2019
Generative Models for Low-Rank Video Representation and Reconstruction
Generative Models for Low-Rank Video Representation and Reconstruction
Rakib Hyder
M. Salman Asif
GAN
27
11
0
25 Feb 2019
Bi-Skip: A Motion Deblurring Network Using Self-paced Learning
Bi-Skip: A Motion Deblurring Network Using Self-paced Learning
Yiwei Zhang
Chunbiao Zhu
Ge Li
Yuan Zhao
Haifeng Shen
14
2
0
24 Feb 2019
'Zhores' -- Petaflops supercomputer for data-driven modeling, machine
  learning and artificial intelligence installed in Skolkovo Institute of
  Science and Technology
'Zhores' -- Petaflops supercomputer for data-driven modeling, machine learning and artificial intelligence installed in Skolkovo Institute of Science and Technology
Igor Zacharov
R. Arslanov
Maxim Gunin
D. Stefonishin
Sergey Pavlov
O. Panarin
Anton K. Maliutin
S. Rykovanov
M. Fedorov
AI4CE
VLM
4
190
0
20 Feb 2019
Towards Automatic Concept-based Explanations
Towards Automatic Concept-based Explanations
Amirata Ghorbani
James Wexler
James Zou
Been Kim
FAtt
LRM
38
19
0
07 Feb 2019
Extending Stein's unbiased risk estimator to train deep denoisers with
  correlated pairs of noisy images
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images
Magauiya Zhussip
Shakarim Soltanayev
S. Chun
OOD
20
3
0
07 Feb 2019
Collaborative Sampling in Generative Adversarial Networks
Collaborative Sampling in Generative Adversarial Networks
Yuejiang Liu
Parth Kothari
Alexandre Alahi
TTA
28
16
0
02 Feb 2019
No Training Required: Exploring Random Encoders for Sentence
  Classification
No Training Required: Exploring Random Encoders for Sentence Classification
John Wieting
Douwe Kiela
6
98
0
29 Jan 2019
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