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 |
|