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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
Semantic interpretation for convolutional neural networks: What makes a
  cat a cat?
Semantic interpretation for convolutional neural networks: What makes a cat a cat?
Haonan Xu
Yuntian Chen
Dongxiao Zhang
FAtt
25
3
0
16 Apr 2022
Deformable Sprites for Unsupervised Video Decomposition
Deformable Sprites for Unsupervised Video Decomposition
Vickie Ye
Zhengqi Li
Richard Tucker
Angjoo Kanazawa
Noah Snavely
OCL
21
63
0
14 Apr 2022
Dancing under the stars: video denoising in starlight
Dancing under the stars: video denoising in starlight
Kristina Monakhova
Stephan R. Richter
Laura Waller
V. Koltun
VGen
21
49
0
08 Apr 2022
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors
Vishwanath Saragadam
Randall Balestriero
Ashok Veeraraghavan
Richard G. Baraniuk
27
15
0
07 Apr 2022
Zero-shot Blind Image Denoising via Implicit Neural Representations
Zero-shot Blind Image Denoising via Implicit Neural Representations
Chaewon Kim
Jaeho Lee
Jinwoo Shin
24
13
0
05 Apr 2022
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single
  Image
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image
Dejia Xu
Yi Ding
Peihao Wang
Zhiwen Fan
Humphrey Shi
Zhangyang Wang
34
187
0
02 Apr 2022
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and
  Methodologies from CNN, GAN to Attention and Transformers
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers
Jiahao Huang
Yingying Fang
Yang Nan
Huanjun Wu
Yinzhe Wu
...
Zidong Wang
Pietro Lio'
Daniel Rueckert
Yonina C. Eldar
Guang Yang
OOD
MedIm
39
3
0
01 Apr 2022
Learning Graph Regularisation for Guided Super-Resolution
Learning Graph Regularisation for Guided Super-Resolution
Riccardo de Lutio
Alexander Becker
Stefano Dáronco
S. Russo
Jan Dirk Wegner
Konrad Schindler
SupR
18
36
0
27 Mar 2022
Current Source Localization Using Deep Prior with Depth Weighting
Current Source Localization Using Deep Prior with Depth Weighting
Rio Yamana
H. Yano
R. Takashima
T. Takiguchi
Seiji Nakagawa
11
1
0
26 Mar 2022
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems
Julián Tachella
Dongdong Chen
Mike Davies
SSL
25
24
0
23 Mar 2022
Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity
Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity
Yuntong Ye
C. Yu
Yi Chang
Lin Zhu
Xile Zhao
Luxin Yan
Yonghong Tian
SSL
15
49
0
22 Mar 2022
Soft Smoothness for Audio Inpainting Using a Latent Matrix Model in
  Delay-embedded Space
Soft Smoothness for Audio Inpainting Using a Latent Matrix Model in Delay-embedded Space
Tatsuya Yokota
11
2
0
18 Mar 2022
On the Spectral Bias of Convolutional Neural Tangent and Gaussian
  Process Kernels
On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels
Amnon Geifman
Meirav Galun
David Jacobs
Ronen Basri
30
13
0
17 Mar 2022
The Mathematics of Artificial Intelligence
The Mathematics of Artificial Intelligence
Gitta Kutyniok
14
0
0
16 Mar 2022
Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots
Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots
Zejin Wang
Jiazheng Liu
Guoqing Li
Hua Han
SSL
16
125
0
14 Mar 2022
TurbuGAN: An Adversarial Learning Approach to Spatially-Varying
  Multiframe Blind Deconvolution with Applications to Imaging Through
  Turbulence
TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution with Applications to Imaging Through Turbulence
Brandon Yushan Feng
Mingyang Xie
Christopher A. Metzler
ViT
28
14
0
13 Mar 2022
The Spectral Bias of Polynomial Neural Networks
The Spectral Bias of Polynomial Neural Networks
Moulik Choraria
L. Dadi
Grigorios G. Chrysos
Julien Mairal
V. Cevher
24
18
0
27 Feb 2022
A Note on Machine Learning Approach for Computational Imaging
A Note on Machine Learning Approach for Computational Imaging
Bin Dong
26
0
0
24 Feb 2022
Computing Multiple Image Reconstructions with a Single Hypernetwork
Computing Multiple Image Reconstructions with a Single Hypernetwork
Alan Q. Wang
Adrian V. Dalca
M. Sabuncu
38
8
0
22 Feb 2022
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
T. Elsken
Arber Zela
J. H. Metzen
B. Staffler
Thomas Brox
Abhinav Valada
Frank Hutter
OOD
36
17
0
15 Feb 2022
A Wasserstein GAN for Joint Learning of Inpainting and Spatial
  Optimisation
A Wasserstein GAN for Joint Learning of Inpainting and Spatial Optimisation
Pascal Peter
GAN
13
3
0
11 Feb 2022
Equivariance Regularization for Image Reconstruction
Equivariance Regularization for Image Reconstruction
Junqi Tang
24
2
0
10 Feb 2022
ROMNet: Renovate the Old Memories
Runsheng Xu
Zhengzhong Tu
Yuanqi Du
Xiaoyu Dong
Jinlong Li
Zibo Meng
Jiaqi Ma
Yu Hongkai
26
1
0
05 Feb 2022
Image-to-Image MLP-mixer for Image Reconstruction
Image-to-Image MLP-mixer for Image Reconstruction
Youssef Mansour
Kang Lin
Reinhard Heckel
SupR
31
15
0
04 Feb 2022
Validation and Generalizability of Self-Supervised Image Reconstruction
  Methods for Undersampled MRI
Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI
Thomas Yu
T. Hilbert
G. Piredda
Arun A. Joseph
G. Bonanno
...
P. Omoumi
Meritxell Bach Cuadra
Erick Jorge Canales-Rodríguez
Thomas Kober
Jean-Philippe Thiran
29
5
0
29 Jan 2022
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model
Dewei Hu
Yuankai K. Tao
I. Oguz
DiffM
MedIm
158
43
0
27 Jan 2022
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for
  Superresolution
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution
Fabian Altekrüger
J. Hertrich
27
15
0
20 Jan 2022
SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps
SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps
Carlos Rodriguez-Pardo
Elena Garces
GAN
12
24
0
13 Jan 2022
Neural KEM: A Kernel Method with Deep Coefficient Prior for PET Image
  Reconstruction
Neural KEM: A Kernel Method with Deep Coefficient Prior for PET Image Reconstruction
Siqi Li
Kuang Gong
R. Badawi
Edward J. Kim
J. Qi
Guobao Wang
30
13
0
05 Jan 2022
Splicing ViT Features for Semantic Appearance Transfer
Splicing ViT Features for Semantic Appearance Transfer
Narek Tumanyan
Omer Bar-Tal
Shai Bagon
Tali Dekel
DiffM
21
173
0
02 Jan 2022
AI-based Reconstruction for Fast MRI -- A Systematic Review and
  Meta-analysis
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis
Yutong Chen
Carola-Bibiane Schönlieb
Pietro Lio'
T. Leiner
P. Dragotti
Ge Wang
Daniel Rueckert
D. Firmin
Guang Yang
30
87
0
23 Dec 2021
Wiener Guided DIP for Unsupervised Blind Image Deconvolution
Wiener Guided DIP for Unsupervised Blind Image Deconvolution
G. Bredell
Ertunc Erdil
B. Weber
E. Konukoglu
DiffM
25
5
0
19 Dec 2021
Information Field Theory and Artificial Intelligence
Information Field Theory and Artificial Intelligence
T. Ensslin
27
5
0
19 Dec 2021
High Fidelity Visualization of What Your Self-Supervised Representation
  Knows About
High Fidelity Visualization of What Your Self-Supervised Representation Knows About
Florian Bordes
Randall Balestriero
Pascal Vincent
DiffM
25
61
0
16 Dec 2021
Implicit Neural Representations for Deconvolving SAS Images
Implicit Neural Representations for Deconvolving SAS Images
Albert W. Reed
Thomas E. Blanford
Daniel C. Brown
Suren Jayasuriya
31
8
0
16 Dec 2021
Deep Translation Prior: Test-time Training for Photorealistic Style
  Transfer
Deep Translation Prior: Test-time Training for Photorealistic Style Transfer
Sunwoo Kim
Soohyun Kim
Seungryong Kim
24
13
0
12 Dec 2021
Early Stopping for Deep Image Prior
Early Stopping for Deep Image Prior
Hengkang Wang
Taihui Li
Zhong Zhuang
Tiancong Chen
Hengyue Liang
Ju Sun
26
63
0
11 Dec 2021
Image Compressed Sensing Using Non-local Neural Network
Image Compressed Sensing Using Non-local Neural Network
Wenxue Cui
Shaohui Liu
F. Jiang
Debin Zhao
28
65
0
07 Dec 2021
Text2Mesh: Text-Driven Neural Stylization for Meshes
Text2Mesh: Text-Driven Neural Stylization for Meshes
O. Michel
Roi Bar-On
Richard Liu
Sagie Benaim
Rana Hanocka
CLIP
AI4CE
205
351
0
06 Dec 2021
TRNR: Task-Driven Image Rain and Noise Removal with a Few Images Based
  on Patch Analysis
TRNR: Task-Driven Image Rain and Noise Removal with a Few Images Based on Patch Analysis
Wu Ran
Bohong Yang
Peirong Ma
Hong-wei Lu
21
9
0
03 Dec 2021
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from
  a Single Image
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image
Yuki M. Asano
Aaqib Saeed
43
7
0
01 Dec 2021
Unsupervised Image Denoising with Frequency Domain Knowledge
Unsupervised Image Denoising with Frequency Domain Knowledge
Nahyun Kim
Dong-Won Jang
Sunhyeok Lee
Bomi Kim
Dae-Shik Kim
21
6
0
29 Nov 2021
IDR: Self-Supervised Image Denoising via Iterative Data Refinement
IDR: Self-Supervised Image Denoising via Iterative Data Refinement
Y. Zhang
Dasong Li
K. L. Law
Xiaogang Wang
Hongwei Qin
Hongsheng Li
24
55
0
29 Nov 2021
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image
  Prior
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior
Metin Ersin Arican
Ozgur Kara
G. Bredell
E. Konukoglu
30
17
0
27 Nov 2021
Robust Equivariant Imaging: a fully unsupervised framework for learning
  to image from noisy and partial measurements
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements
Dongdong Chen
Julián Tachella
Mike E. Davies
OOD
25
60
0
25 Nov 2021
An Educated Warm Start For Deep Image Prior-Based Micro CT
  Reconstruction
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
37
19
0
23 Nov 2021
STEEX: Steering Counterfactual Explanations with Semantics
STEEX: Steering Counterfactual Explanations with Semantics
P. Jacob
Éloi Zablocki
H. Ben-younes
Mickaël Chen
P. Pérez
Matthieu Cord
19
43
0
17 Nov 2021
Image-specific Convolutional Kernel Modulation for Single Image
  Super-resolution
Image-specific Convolutional Kernel Modulation for Single Image Super-resolution
Yuanfei Huang
Jie Li
Yanting Hu
Xinbo Gao
Huan Huang
SupR
18
0
0
16 Nov 2021
Unsupervised PET Reconstruction from a Bayesian Perspective
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
Unsupervised Foreground Extraction via Deep Region Competition
Unsupervised Foreground Extraction via Deep Region Competition
Peiyu Yu
Sirui Xie
Xiaojian Ma
Yixin Zhu
Ying Nian Wu
Song-Chun Zhu
OCL
32
42
0
29 Oct 2021
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