超分辨率重建部分算法總結

超分辨率資源的精確列表和單圖像超分辨率算法的基準。
請參閱我實現的超分辨率算法：

• SRGAN
• VDSR
• CSCN

TODO

Build a benckmark like SelfExSR_Code

State-of-the-art algorithms：

Classical Sparse Coding Method 經典稀疏編碼

• ScSR [Web]
• Image super-resolution as sparse representation of raw image patches (CVPR2008), Jianchao Yang et al.

        基於原始圖像塊稀疏表示的圖像超分辨率

• Image super-resolution via sparse representation (TIP2010), Jianchao Yang et al.

       基於稀疏表示的圖像超分辨率

• Coupled dictionary training for image super-resolution (TIP2011), Jianchao Yang et al.

      基於耦合字典訓練的圖像超分辨率重建

Anchored Neighborhood Regression Method 錨定鄰域迴歸方法

• ANR [Web]

         Anchored Neighborhood Regression for Fast Example-Based Super-Resolution (ICCV2013), Radu Timofte et al.

        基於鄰域快速回歸的快速實例超分辨率

• A+  [Web]

        A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution (ACCV2014), Radu Timofte et al.

• IA  [Web]

        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.

樸素貝葉斯超分辨率森林

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.
• 基於深度遞歸卷積網絡的圖像超分辨率重建

ESPCN

• Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network (CVPR2016), Wenzhe Shi et al.
• 基於高效亞像素卷積神經網絡的實時單圖像和視頻超分辨率
• 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.
• 基於深拉普拉斯金字塔網絡的快速和準確的超分辨率

EDSR 

• Enhanced Deep Residual Networks for Single Image Super-Resolution (Winner of NTIRE2017 Super-Resolution Challenge), Bee Lim et al.

Perceptual Loss and GAN（損失函數上改進）

Perceptual Loss 

• Perceptual Losses for Real-Time Style Transfer and Super-Resolution (ECCV2016), Justin Johnson et al.
• 基於感知損失的實時風格轉移和超分辨率

SRGAN

• Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (CVPR2017), Christian Ledig et al.
• 基於生成對抗網絡的逼真圖片的單一圖像超分辨率

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.

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