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Image Denoising via CNNs: An Adversarial Approach

Image Denoising via CNNs: An Adversarial Approach

1 August 2017
Nithish Divakar
R. Venkatesh Babu
    SupR
ArXiv (abs)PDFHTML

Papers citing "Image Denoising via CNNs: An Adversarial Approach"

15 / 15 papers shown
Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image
  Denoising
Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image Denoising
Yujin Wang
Lingen Li
Tianfan Xue
Liang Feng
DiffM
166
5
0
19 Sep 2023
Masked Image Training for Generalizable Deep Image Denoising
Masked Image Training for Generalizable Deep Image DenoisingComputer Vision and Pattern Recognition (CVPR), 2023
Zhaodong Sun
Jinjin Gu
Yihao Liu
Salma Abdel Magid
Chao Dong
Qiong Wang
Hanspeter Pfister
Lei Zhu
184
108
0
23 Mar 2023
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey
  Paper --
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper --SIAM Journal of Imaging Sciences (JSIS), 2023
Michael Elad
Bahjat Kawar
Gregory Vaksman
212
132
0
09 Jan 2023
A study on the deviations in performance of FNNs and CNNs in the realm
  of grayscale adversarial images
A study on the deviations in performance of FNNs and CNNs in the realm of grayscale adversarial images
Durga Shree Nagabushanam
Steve Mathew
C. L. Chowdhary
AAML
191
1
0
17 Sep 2022
Wavelength-based Attributed Deep Neural Network for Underwater Image
  Restoration
Wavelength-based Attributed Deep Neural Network for Underwater Image Restoration
Prasen Kumar Sharma
Ira Bisht
Arijit Sur
348
158
0
15 Jun 2021
High Perceptual Quality Image Denoising with a Posterior Sampling CGAN
High Perceptual Quality Image Denoising with a Posterior Sampling CGAN
Guy Ohayon
Theo Adrai
Gregory Vaksman
Michael Elad
P. Milanfar
GAN
232
45
0
06 Mar 2021
Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient Mask
Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient MaskInternational Conference on Computational Photography (ICCP), 2021
Avinash Paliwal
Libing Zeng
N. Kalantari
VGen
149
8
0
04 Mar 2021
Deep Graph-Convolutional Image Denoising
Deep Graph-Convolutional Image DenoisingIEEE Transactions on Image Processing (TIP), 2019
D. Valsesia
Giulia Fracastoro
E. Magli
GNNSSL
156
152
0
19 Jul 2019
High-throughput Onboard Hyperspectral Image Compression with
  Ground-based CNN Reconstruction
High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN ReconstructionIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019
D. Valsesia
E. Magli
89
38
0
05 Jul 2019
Natural Image Noise Dataset
Natural Image Noise Dataset
Benoit Brummer
Christophe De Vleeschouwer
120
48
0
01 Jun 2019
Image Denoising with Graph-Convolutional Neural Networks
Image Denoising with Graph-Convolutional Neural NetworksInternational Conference on Information Photonics (ICIP), 2019
D. Valsesia
Giulia Fracastoro
E. Magli
126
46
0
29 May 2019
AVID: Adversarial Visual Irregularity Detection
AVID: Adversarial Visual Irregularity Detection
Mohammad Sabokrou
M. PourReza
Mohsen Fayyaz
R. Entezari
M. Fathy
Jürgen Gall
Ehsan Adeli
GAN
202
95
0
24 May 2018
Correction by Projection: Denoising Images with Generative Adversarial
  Networks
Correction by Projection: Denoising Images with Generative Adversarial Networks
Subarna Tripathi
Zachary Chase Lipton
Truong Thao Nguyen
178
56
0
12 Mar 2018
Adversarially Learned One-Class Classifier for Novelty Detection
Adversarially Learned One-Class Classifier for Novelty Detection
Mohammad Sabokrou
Mohammad Khalooei
M. Fathy
Ehsan Adeli
AAML
337
740
0
25 Feb 2018
DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme
  Exposure Image Pairs
DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image PairsIEEE International Conference on Computer Vision (ICCV), 2017
K. Prabhakar
V. S. Srikar
R. Venkatesh Babu
140
631
0
20 Dec 2017
1
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