krasserm / super-resolutionLinks
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
☆1,513Updated 3 years ago
Alternatives and similar repositories for super-resolution
Users that are interested in super-resolution are comparing it to the libraries listed below
Sorting:
- A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep…☆712Updated 2 years ago
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras☆277Updated 6 years ago
- A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.☆1,670Updated 5 years ago
- Tensorflow implementation of the SRGAN algorithm for single image super-resolution☆856Updated 2 years ago
- Implementation of Super Resolution CNN in Keras.☆839Updated last year
- A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial …☆1,234Updated last year
- collection of super-resolution models & algorithms☆750Updated 6 years ago
- EDSR, RCAN, SRGAN, SRFEAT, ESRGAN☆236Updated 2 years ago
- PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)☆2,580Updated 2 years ago
- 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.☆4,794Updated 11 months ago
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network☆3,441Updated last year
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution☆695Updated last year
- A collection of high-impact and state-of-the-art SR methods☆1,887Updated 2 years ago
- PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"☆1,471Updated 7 months ago
- Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"☆672Updated 7 years ago
- Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3☆611Updated 2 years ago
- A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps☆699Updated 4 months ago
- A simple and complete implementation of super-resolution paper.☆469Updated last year
- TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs…☆810Updated 6 years ago
- Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformab…☆1,554Updated 4 years ago
- Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)☆894Updated 2 months ago
- Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)☆846Updated 5 years ago
- Content adaptive resampler for image downscaling☆481Updated 3 years ago
- ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an uno…☆136Updated 2 years ago
- PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)☆631Updated 6 years ago
- Collect super-resolution related papers, data, repositories☆2,913Updated last week
- A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixe…☆552Updated 6 years ago
- Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)☆923Updated 4 years ago
- Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper☆1,516Updated 4 years ago
- Real-World Super-Resolution via Kernel Estimation and Noise Injection☆813Updated 3 years ago