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/README.md:
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 1 | # Super-Resolution-Collections
 2 | 
 3 | A collection of state-of-the-art super resolution methods.
 4 | ✨ Suggestions and collaborations are welcomed~
 5 | 
 6 | ## Image-Super-Resolution paper list
 7 | 
 8 | - **SRCNN**: Image Super-Resolution Using Deep Convolutional Networks [[paper](http://mmlab.ie.cuhk.edu.hk/projects/SRCNN.html)] [[matlab-code](http://mmlab.ie.cuhk.edu.hk/projects/SRCNN/SRCNN_v1.zip)] [[caffe-code](http://mmlab.ie.cuhk.edu.hk/projects/SRCNN/SRCNN_train.zip)]
 9 | - **FSRCNN**:  Accelerating the Super-Resolution Convolutional Neural Network [[paper](https://arxiv.org/abs/1608.00367)] [[matlab-code](https://drive.google.com/open?id=0B7tU5Pj1dfCMVktYZUN2aV8xVTQ)] [[caffe-code](https://drive.google.com/open?id=0B7tU5Pj1dfCMWjhhaE1HR3dqcGs)]
10 | - **EDVR**: Video Restoration with Enhanced Deformable Convolutional Networks [[paper](https://arxiv.org/abs/1905.02716)] [[code](https://github.com/xinntao/EDVR)]
11 | - **ESRGAN**: Enhanced Super-Resolution Generative Adversarial Networks [[paper](https://arxiv.org/abs/1809.00219)] [[code](https://github.com/xinntao/ESRGAN)]
12 | - **PAN**: Efficient Image Super-Resolution Using Pixel Attention [[paper](https://arxiv.org/abs/2010.01073)] [[code](https://github.com/zhaohengyuan1/PAN)]
13 | - **ClassSR**: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic [[paper](https://arxiv.org/abs/2103.04039)] [[code](https://github.com/Xiangtaokong/ClassSR)]
14 | 
15 | ## Video-Frame-Interpolation paper list
16 | 
17 | - Enhanced Quadratic Video Interpolation (ECCVW2020, winner of AIM2020 VTSR Challenge) [[arXiv\]](https://arxiv.org/pdf/2009.04642.pdf) [[GitHub\]](https://github.com/lyh-18/EQVI)
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