论文阅读目录

序号	论文名称	模型简称
1	Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising	DnCNN
2	FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising	FFDNet
3	U-Net: Convolutional Networks for Biomedical Image Segmentation	U-Net
4	Toward Convolutional Blind Denoising of Real Photographs	CBDNet
5	FRACTALNET:ULTRA-DEEP NEURAL NETWORKS WITHOUT RESIDUALS	FractalNet
6	Multi-Level Wavelet Convolutional Neural Networks	MWCNN
7	HT-MWResnet: Hierarchical Trained and Multi-level Wavelet-Resnet for Image Denoising	HT-MWResnet
8	Self-Guided Network for Fast Image Denoising	SGN
9	Deep Iterative Down-Up CNN for Image Denoising	DIDN
10	Attention-guided CNN for Image Denoising	ADNet
11	Image denoising using deep CNN with batch renormalization	BRDNet
12	ADRN: ATTENTION-BASED DEEP RESIDUAL NETWORK FOR HYPERSPECTRAL IMAGE DENOISING	ADRN
13	Research on Denoising Method of Remote Sensing Images Based on Convolutional Neural Network
14	Learning Deep CNN Denoiser Prior for Image Restoration
15	A High-Quality Denoising Dataset for Smartphone Cameras
16	Real Image Denoising with Feature Attention
17	基于深度反卷积神经网络的图像超分辨率算法
18	Learning Enriched Features for Real Image Restoration and Enhancement	MIRNet
19	Densely Connected Hierarchical Network for Image Denoising	DHDN
20	RandAugment: Practical automated data augmentation with a reduced search space
21	Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements
22	Image Super-Resolution Using Very Deep Residual Channel Attention Networks	RCAN
23	RIDNet: Recursive Information Distillation Network for Color Image Denoising	RIDNet
24	Selective Kernel Networks	SKNet
25	Squeeze-and-Excitation Networks	SENet
26	Deep Adaptive Inference Networks for Single Image Super-Resolution	AdaDSR
27	Enhanced Deep Residual Networks for Single Image Super-Resolution	EDSR
28	Pyramid Attention Networks for Image Restoration	PANet
29	Pyramid Feature Attention Network for Saliency detection