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A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
| Date | Stars |
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| 2026-07-24 | 1687 |
| 2026-07-25 | 1687 |
| 2026-07-28 | 1687 |
| 2026-07-30 | 1687 |
| 2026-08-06 | 1687 |
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# Video Super Resolution A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow. **Project uploaded to PyPI now. Try install from PyPI:** ```shell script pip install VSR ``` **Pretrained weights is uploading now.** **Several referenced PyTorch implementations are also included now.** **Quick Link:** - [Installation](#install) - [Getting Started](#Getting-Started) - [Benchmark](https://github.com/LoSealL/VideoSuperResolution/blob/master/Docs/Benchmark%20(reproduce).md) ## Network list and reference (Updating) The hyperlink directs to paper site, follows the official codes if the authors open sources. All these models are implemented in **ONE** framework. |Model |Published |Code* |VSR (TF)**|VSR (Torch)|Keywords|Pretrained| |:-----|:---------|:-----|:---------|:----------|:-------|:---------| |SRCNN|[ECCV14](https://arxiv.org/abs/1501.00092)|-, [Keras](https://github.com/qobilidop/srcnn)|Y|Y| Kaiming |[√](https://github.com/LoSealL/Model/releases)| |RAISR|[arXiv](https://arxiv.org/abs/1606.01299)|-|-|-| Google, Pixel 3 || |ESPCN|[CVPR16](https://arxiv.org/abs/1609.05158)|-, [Keras](https://github.com/qobilidop/srcnn)|Y|Y| Real time |[√](https://github.com/LoSealL/Model/releases)| |VDSR|[CVPR16](https://arxiv.org/abs/1511.04587)|-|Y|Y| Deep, Residual |[√](https://drive.google.com/open?id=1hW5YDxXpmjO2IfAy8f29O7yf1M3fPIg1)| |DRCN|[CVPR16](https://arxiv.org/abs/1511.04491)|-|Y|Y| Recurrent || |DRRN|[CVPR17](http://cvlab.cse.msu.edu/pdfs/Tai_Yang_Liu_CVPR2017.pdf)|[Caffe](https://github.com/tyshiwo/DRRN_CVPR17), [PyTorch](https://github.com/jt827859032/DRRN-pytorch)|Y|Y| Recurrent || |LapSRN|[CVPR17](http://vllab.ucmerced.edu/wlai24/LapSRN/)|[Matlab](https://github.com/phoenix104104/LapSRN)|Y|-| Huber loss || |EDSR|[CVPR17](https://arxiv.org/abs/1707.02921)|-|Y|Y| NTIRE17 Champion |[√](https://github.com/LoSealL/Model/releases)| |SRGAN|[CVPR17](https://arxiv.org/abs/1609.04802)|-|Y|-| 1st proposed GAN || |VESPCN|[CVPR17](https://arxiv.org/abs/1611.05250)|-|Y|Y| VideoSR |[√](https://drive.google.com/open?id=19u4YpsyThxW5dv4fhpMj7c5gZeEDKthm)| |MemNet|[ICCV17](https://arxiv.org/abs/1708.02209)|[Caffe](https://github.com/tyshiwo/MemNet)|Y|-||| |SRDenseNet|[ICCV17](http://openaccess.thecvf.com/content_ICCV_2017/papers/Tong_Image_Super-Resolution_Using_ICCV_2017_paper.pdf)|-, [PyTorch](https://github.com/wxywhu/SRDenseNet-pytorch)|Y|-| Dense |[√](https://drive.google.com/open?id=1aXAfRqZieY6mTfZUnErG84-9NfkQSeDw)| |SPMC|[ICCV17](https://arxiv.org/abs/1704.02738)|[Tensorflow](https://github.com/jiangsutx/SPMC_VideoSR)|T|Y| VideoSR || |DnCNN|[TIP17](http://ieeexplore.ieee.org/document/7839189/)|[Matlab](https://github.com/cszn/DnCNN)|Y|Y| Denoise |[√](https://github.com/LoSealL/Model/releases)| |DCSCN|[arXiv](https://arxiv.org/abs/1707.05425)|[Tensorflow](https://github.com/jiny2001/dcscn-super-resolution)|Y|-||| |IDN|[CVPR18](https://arxiv.org/abs/1803.09454)|[Caffe](https://github.com/Zheng222/IDN-Caffe)|Y|-| Fast |[√](https://drive.google.com/open?id=1Fh3rtvrKKLAK27r518T1M_JET_LWZAFQ)| |RDN|[CVPR18](https://arxiv.org/abs/1802.08797)|[Torch](https://github.com/yulunzhang/RDN)|Y|-| Deep, BI-BD-DN || |SRMD|[CVPR18](https://arxiv.org/abs/1712.06116)|[Matlab](https://github.com/cszn/SRMD)|-|Y| Denoise/Deblur/SR |[√](https://drive.google.com/open?id=1ORKH05-aLSbQaWB4qQulIm2INoRufuD_)| |DBPN|[CVPR18](https://arxiv.org/abs/1803.02735)|[PyTorch](https://github.com/alterzero/DBPN-Pytorch)|Y|Y| NTIRE18 Champion |[√](https://drive.google.com/open?id=1ymtlOjhkGmad-od0zw7yTf17nWD4KMVi)| |ZSSR|[CVPR18](http://www.wisdom.weizmann.ac.il/~vision/zssr/)|[Tensorflow](https://github.com/assafshocher/ZSSR)|-|-| Zero-shot || |FRVSR|[CVPR18](https://arxiv.org/abs/1801.04590)|[PDF](https://github.com/msmsajjadi/FRVSR)|T|Y| VideoSR |[√](https://github.com/LoSealL/Model/releases)| |DUF|[CVPR18](http://openaccess.thecvf.com/content_cvpr_2018/papers/Jo_Deep_Video_Super-Resolution_CVPR_2018_paper.pdf
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matched fp:991d40e2d7cde230, topic:pytorch, topic:tensorflow
matched fp:991d40e2d7cde230, topic:super-resolution, desc:super resolution, readme:super resolution