超分辨率重建最新算法总结

超分辨率重建最新算法总结

Classical Sparse Coding Method

• ScSR 
• Image super-resolution as sparse representation of raw image patches (CVPR2008), Jianchao Yang et al.
• 基于原始图像块稀疏表示的图像超分辨率
  
• Image super-resolution via sparse representation (TIP2010), Jianchao Yang et al.

• 基于稀疏表示的图像超分辨率

• Coupled dictionary training for image super-resolution (TIP2011), Jianchao Yang et al.
• 基于耦合字典训练的图像超分辨率重建
  

Anchored Neighborhood Regression Method

• ANR
• Anchored Neighborhood Regression for Fast Example-Based Super-Resolution (ICCV2013), Radu Timofte et al.
• 基于邻域快速回归的快速实例超分辨率

• A+ 
• A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution (ACCV2014), Radu Timofte et al.
• IA 
• Seven ways to improve example-based single image super resolution (CVPR2016), Radu Timofte et al.

Self-Exemplars

• SelfExSR 
• Single Image Super-Resolution from Transformed Self-Exemplars (CVPR2015), Jia-Bin Huang et al.

Bayes

• NBSRF 
• Naive Bayes Super-Resolution Forest (ICCV2015), Jordi Salvador et al.
• 朴素贝叶斯超分辨率森林
  

Deep Learning Method

• SRCNN 
• Image Super-Resolution Using Deep Convolutional Networks (ECCV2014), Chao Dong et al.
• Image Super-Resolution Using Deep Convolutional Networks (TPAMI2015), Chao Dong et al.
• CSCN 
• Deep Networks for Image Super-Resolution with Sparse Prior (ICCV2015), Zhaowen Wang et al.
• Robust Single Image Super-Resolution via Deep Networks with Sparse Prior (TIP2016), Ding Liu et al.
• VDSR 
• Accurate Image Super-Resolution Using Very Deep Convolutional Networks (CVPR2016), Jiwon Kim et al.
• DRCN
• Deeply-Recursive Convolutional Network for Image Super-Resolution (CVPR2016), Jiwon Kim et al.
• 基于深度递归卷积网络的图像超分辨率重建
  
• ESPCN
• Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network (CVPR2016), Wenzhe Shi et al.
• 基于高效亚像素卷积神经网络的实时单图像和视频超分辨率
• Is the deconvolution layer the same as a convolutional layer? 
• Checkerboard artifact free sub-pixel convolution 
• FSRCNN
• Acclerating the Super-Resolution Convolutional Neural Network (ECCV2016), Dong Chao et al.
• LapSRN
• Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017), Wei-Sheng Lai et al.
• 基于深拉普拉斯金字塔网络的快速和准确的超分辨率
  
• EDSR 
• Enhanced Deep Residual Networks for Single Image Super-Resolution (Winner of NTIRE2017 Super-Resolution Challenge), Bee Lim et al.

Perceptual Loss and GAN（损失函数上改进）

• Perceptual Loss 
• Perceptual Losses for Real-Time Style Transfer and Super-Resolution (ECCV2016), Justin Johnson et al.
• 基于感知损失的实时风格转移和超分辨率
  
• SRGAN
• Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (CVPR2017), Christian Ledig et al.
• 基于生成对抗网络的逼真图片的单一图像超分辨率
  
• AffGAN 
• AMORTISED MAP INFERENCE FOR IMAGE SUPER-RESOLUTION (ICLR2017), Casper Kaae Sønderby et al.
• EnhanceNet 
• EnhanceNet: Single Image Super-Resolution through Automated Texture Synthesis, Mehdi S. M. Sajjadi et al.

Video SR

• VESPCN 
• Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation (CVPR2017), Jose Caballero et al.

• 来自
• https://github.com/huangzehao/Super-Resolution.Benckmark