Deep Learning for Image Denoising: A Survey

11 October 2018

Papers citing "Deep Learning for Image Denoising: A Survey"

28 / 28 papers shown

Title
RSEND: Retinex-based Squeeze and Excitation Network with Dark Region Detection for Efficient Low Light Image Enhancement Jingcheng Li Ye Qiao Jingcheng Li Sitao Huang 86 0 0 14 Jun 2024
A Variational U-Net for Conditional Appearance and Shape Generation Patrick Esser E. Sutter Bjorn Ommer 60 419 0 12 Apr 2018
Group Normalization Yuxin Wu Kaiming He 231 3,660 0 22 Mar 2018
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN Shuai Li W. Li Chris Cook Ce Zhu Yanbo Gao 83 731 0 13 Mar 2018
Correction by Projection: Denoising Images with Generative Adversarial Networks Subarna Tripathi Zachary Chase Lipton Truong Thao Nguyen 56 53 0 12 Mar 2018
Residual Dense Network for Image Super-Resolution Yulun Zhang Yapeng Tian Yu Kong Bineng Zhong Y. Fu SupR 138 3,320 0 24 Feb 2018
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations Peng Sun W. Zuo Lei Zhang SupR 97 911 0 17 Dec 2017
Optimal Combination of Image Denoisers J. H. Choi Omar A. Elgendy Stanley H. Chan 43 2 0 17 Nov 2017
End-to-end Flow Correlation Tracking with Spatial-temporal Attention Zheng Zhu Wei Wu Wei Zou Junjie Yan 62 266 0 03 Nov 2017
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising Peng Sun W. Zuo Lei Zhang 125 2,123 0 11 Oct 2017
ImageNet Training in Minutes Yang You Zhao-jie Zhang Cho-Jui Hsieh J. Demmel Kurt Keutzer VLM LRM 55 57 0 14 Sep 2017
Dilated Deep Residual Network for Image Denoising Tianyang Wang Mingxuan Sun Kaoning Hu MedIm 35 83 0 18 Aug 2017
MemNet: A Persistent Memory Network for Image Restoration Ying Tai Jian Yang Xiaoming Liu Chunyan Xu SupR 108 1,542 0 07 Aug 2017
DiracNets: Training Very Deep Neural Networks Without Skip-Connections Sergey Zagoruyko N. Komodakis UQCV OOD 53 119 0 01 Jun 2017
Block-Matching Convolutional Neural Network for Image Denoising Byeongyong Ahn N. Cho SupR 57 45 0 03 Apr 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 669 10,786 0 19 Feb 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 517 10,330 0 16 Nov 2016
Deeply supervised salient object detection with short connections Qibin Hou Ming-Ming Cheng Xiao-Wei Hu Ali Borji Zhuowen Tu Philip Torr 69 1,330 0 15 Nov 2016
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
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Video Tracking Using Learned Hierarchical Features Li Wang Ting Liu G. Wang K. Chan Qingxiong Yang 95 178 0 25 Nov 2015
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration Yunjin Chen Thomas Pock DiffM 52 1,188 0 12 Aug 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 468 43,658 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,386 0 04 Sep 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks P. Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun ObjD 151 5,006 0 21 Dec 2013
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 289 26,193 0 11 Nov 2013
Provable Bounds for Learning Some Deep Representations Sanjeev Arora Aditya Bhaskara Rong Ge Tengyu Ma BDL 97 335 0 23 Oct 2013