JustinhoCHN / SRGAN_WassersteinLinks
Apply Waseerstein GAN into SRGAN, a deep learning super resolution model
☆422Updated 7 years ago
Alternatives and similar repositories for SRGAN_Wasserstein
Users that are interested in SRGAN_Wasserstein are comparing it to the libraries listed below
Sorting:
- Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018☆602Updated 5 years ago
- Image Super-Resolution by Neural Texture Transfer☆439Updated last year
- Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution☆339Updated 6 years ago
- collection of super-resolution models & algorithms☆750Updated 6 years ago
- Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)☆846Updated 5 years ago
- A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".☆142Updated 6 years ago
- Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)☆570Updated 4 years ago
- The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and …☆572Updated 5 years ago
- A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'☆253Updated 3 years ago
- A modern PyTorch implementation of SRGAN☆364Updated 7 years ago
- Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)☆561Updated 3 years ago
- Fast, Accurate and Lightweight Super-Resolution models☆690Updated 2 years ago
- Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3☆609Updated 2 years ago
- pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802☆502Updated 7 years ago
- Tensorflow implementation of the paper "Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution"☆104Updated 7 years ago
- Code for our CVPR'17 paper "Image Super-Resolution via Deep Recursive Residual Network"☆231Updated 7 years ago
- Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)☆550Updated 5 years ago
- A course project on convolutional neural networks for single image super-resolution☆118Updated 6 years ago
- 图像超分辨率算法的实现☆164Updated 9 years ago
- Repository for Detail-revealing Deep Video Super-resolution https://arxiv.org/abs/1704.02738☆265Updated 5 years ago
- Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"☆669Updated 7 years ago
- VDSR (CVPR2016) pytorch implementation☆443Updated 3 years ago
- Tensorflow implementation of the SRGAN algorithm for single image super-resolution☆856Updated 2 years ago
- Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch☆279Updated 7 years ago
- Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"☆599Updated 2 years ago
- Benchmark and resources for single super-resolution algorithms☆772Updated 5 years ago
- TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network☆52Updated 6 years ago
- ☆383Updated 7 years ago
- Globally and Locally Consistent Image Completion☆216Updated 6 years ago
- An implementation of the Efficient Sub-Pixel Convolutional Neural Network in TensorFlow☆125Updated 7 years ago