krasserm / super-resolutionLinks
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
☆1,512Updated 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…☆708Updated 2 years ago
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network☆3,417Updated last year
- A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.☆1,657Updated 4 years ago
- PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)☆2,538Updated 2 years ago
- Implementation of Super Resolution CNN in Keras.☆836Updated 10 months ago
- 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.☆4,757Updated 6 months ago
- Tensorflow implementation of the SRGAN algorithm for single image super-resolution☆857Updated 2 years ago
- Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformab…☆1,533Updated 3 years ago
- Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"☆667Updated 7 years ago
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras☆278Updated 6 years ago
- collection of super-resolution models & algorithms☆746Updated 6 years ago
- A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps☆688Updated this week
- A collection of high-impact and state-of-the-art SR methods☆1,881Updated 2 years ago
- EDSR, RCAN, SRGAN, SRFEAT, ESRGAN☆238Updated 2 years ago
- A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial …☆1,220Updated 11 months ago
- PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"☆1,441Updated 2 months ago
- Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3☆607Updated last year
- Content adaptive resampler for image downscaling☆479Updated 3 years ago
- A simple and complete implementation of super-resolution paper.☆456Updated 11 months ago
- Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)☆922Updated 3 years ago
- pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802☆495Updated 7 years ago
- A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixe…☆531Updated 5 years ago
- "Zero-Shot" Super-Resolution using Deep Internal Learning☆409Updated 5 years ago
- VDSR (CVPR2016) pytorch implementation☆438Updated 3 years ago
- Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018☆602Updated 5 years ago
- The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and …☆571Updated 4 years ago
- Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)☆844Updated 4 years ago
- iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs …☆370Updated 3 weeks ago
- Fast, Accurate and Lightweight Super-Resolution models☆689Updated 2 years ago
- Collect super-resolution related papers, data, repositories☆2,785Updated 3 months ago