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Robust and interpretable blind image denoising via bias-free
  convolutional neural networks
v1v2v3 (latest)

Robust and interpretable blind image denoising via bias-free convolutional neural networks

13 June 2019
S. Mohan
Zahra Kadkhodaie
Eero P. Simoncelli
C. Fernandez‐Granda
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Robust and interpretable blind image denoising via bias-free convolutional neural networks"

13 / 13 papers shown
Title
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow
Tonghan Wang
Heng Dong
Yanchen Jiang
David C. Parkes
Milind Tambe
DiffM
96
3
0
17 Oct 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models
On the Asymptotic Mean Square Error Optimality of Diffusion Models
B. Fesl
Benedikt Bock
Florian Strasser
Michael Baur
M. Joham
Wolfgang Utschick
DiffM
107
2
0
05 Mar 2024
Residual Dense Network for Image Restoration
Residual Dense Network for Image Restoration
Yulun Zhang
Yapeng Tian
Yu Kong
Bineng Zhong
Y. Fu
SupR
72
723
0
25 Dec 2018
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control
  Method for Image Restoration
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration
Xiaoshuai Zhang
Yiping Lu
Jiaying Liu
Bin Dong
54
51
0
20 May 2018
Fast, Trainable, Multiscale Denoising
Fast, Trainable, Multiscale Denoising
Sungjoon Choi
J. Isidoro
Pascal Getreuer
P. Milanfar
69
6
0
16 Feb 2018
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
772
36,813
0
25 Aug 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Peng Sun
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
142
6,995
0
13 Aug 2016
Explaining NonLinear Classification Decisions with Deep Taylor
  Decomposition
Explaining NonLinear Classification Decisions with Deep Taylor Decomposition
G. Montavon
Sebastian Lapuschkin
Alexander Binder
Wojciech Samek
Klaus-Robert Muller
FAtt
60
737
0
08 Dec 2015
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast
  and Effective Image Restoration
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
Yunjin Chen
Thomas Pock
DiffM
54
1,188
0
12 Aug 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,196
0
18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
312
7,308
0
20 Dec 2013
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