krasserm / super-resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
☆1,504Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for super-resolution
- Tensorflow implementation of the SRGAN algorithm for single image super-resolution☆848Updated last year
- collection of super-resolution models & algorithms☆744Updated 5 years ago
- A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep…☆707Updated last year
- Implementation of Super Resolution CNN in Keras.☆832Updated 2 months ago
- A collection of high-impact and state-of-the-art SR methods☆1,847Updated last year
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network☆3,319Updated 8 months ago
- A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.☆1,625Updated 4 years ago
- A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial …☆1,156Updated 3 months ago
- PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)☆2,441Updated last year
- Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"☆655Updated 6 years ago
- Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3☆590Updated last year
- PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"☆1,389Updated 5 months ago
- Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)☆836Updated 4 years ago
- EDSR, RCAN, SRGAN, SRFEAT, ESRGAN☆233Updated last year
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras☆276Updated 5 years ago
- A simple and complete implementation of super-resolution paper.☆421Updated 4 months ago
- A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps☆671Updated 2 weeks ago
- A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixe…☆515Updated 5 years ago
- pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802☆481Updated 6 years ago
- Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformab…☆1,493Updated 3 years ago
- Content adaptive resampler for image downscaling☆472Updated 2 years ago
- Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)☆865Updated last year
- Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper☆1,417Updated 2 years ago
- The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and …☆566Updated 4 years ago
- Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018☆600Updated 4 years ago
- Collect super-resolution related papers, data, repositories☆2,519Updated 2 weeks ago
- VDSR (CVPR2016) pytorch implementation☆428Updated 3 years ago
- A modern PyTorch implementation of SRGAN☆362Updated 7 years ago
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution☆623Updated 3 months ago
- Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)☆915Updated 3 years ago