dongheehand / SRGAN-PyTorchLinks
SRGAN (Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) implementation using PyTorch framework
☆48Updated 4 years ago
Alternatives and similar repositories for SRGAN-PyTorch
Users that are interested in SRGAN-PyTorch are comparing it to the libraries listed below
Sorting:
- EDSR, RCAN, SRGAN, SRFEAT, ESRGAN☆236Updated 2 years ago
- A simple implementation of esrgan, which uses the pytorch framework.☆150Updated last year
- re-implementation super resolution pytorch using ESRGAN☆102Updated 4 years ago
- A simple and complete implementation of super-resolution paper.☆465Updated last year
- A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Gen…☆88Updated 6 years ago
- ESRGAN‘s Keras reimpletment☆44Updated 5 years ago
- Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch☆279Updated 7 years ago
- ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an uno…☆137Updated 2 years ago
- ICASSP 2020 - ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network - ICPR 2020 - Tarsier: Evolving Noise …☆135Updated last year
- Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network (ECCV 2018)☆378Updated 3 years ago
- ☆350Updated 3 years ago
- Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.☆361Updated 3 years ago
- "Zero-Shot" Super-Resolution using Deep Internal Learning☆411Updated 5 years ago
- PyTorch implements "Accurate Image Super-Resolution Using Very Deep Convolutional Networks"☆68Updated 3 years ago
- Simple realization of papers in oppo Research Institute super score competition.☆67Updated 3 years ago
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras☆277Updated 6 years ago
- (ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.☆323Updated 5 months ago
- PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)☆132Updated 4 years ago
- PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)☆616Updated 6 years ago
- Pytorch framework can easily implement srcnn algorithm with excellent performance☆125Updated 3 years ago
- A modern PyTorch implementation of SRGAN☆364Updated 7 years ago
- Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020☆185Updated 4 years ago
- PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)☆256Updated 3 years ago
- Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)☆563Updated 3 years ago
- VDSR (CVPR2016) pytorch implementation☆443Updated 3 years ago
- PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"☆179Updated 3 years ago
- [ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, an…☆704Updated last year
- Second-order Attention Network for Single Image Super-resolution (CVPR-2019)☆574Updated 5 years ago
- [IJCV] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, co…☆403Updated 5 years ago
- PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020)…☆407Updated 4 years ago