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v1v2 (latest)

Denoising: from classical methods to deep CNNs

25 April 2024
J. Campagne
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Denoising: from classical methods to deep CNNs"

6 / 6 papers shown
Title
Scattering Spectra Models for Physics
Scattering Spectra Models for Physics
S. Cheng
Rudy Morel
Erwan Allys
Brice Ménard
S. Mallat
64
9
0
29 Jun 2023
A Comparison of Image Denoising Methods
A Comparison of Image Denoising Methods
Zhaoming Kong
Fang Deng
Haomin Zhuang
Jun Yu
Lifang He
Xiaowei Yang
64
7
0
18 Apr 2023
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffMSyDa
350
6,551
0
26 Nov 2020
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Vivienne Sze
Yu-hsin Chen
Tien-Ju Yang
J. Emer
AAML3DV
120
3,024
0
27 Mar 2017
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
244
8,424
0
28 Nov 2014
Invariant Scattering Convolution Networks
Invariant Scattering Convolution Networks
Joan Bruna
S. Mallat
127
1,279
0
05 Mar 2012
1