tensorlayer / SRGAN
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
☆3,375Updated 11 months ago
Alternatives and similar repositories for SRGAN:
Users that are interested in SRGAN are comparing it to the libraries listed below
- Tensorflow implementation of the SRGAN algorithm for single image super-resolution☆849Updated last year
- Implementation of Super Resolution CNN in Keras.☆833Updated 6 months ago
- Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"☆660Updated 7 years ago
- A collection of high-impact and state-of-the-art SR methods☆1,868Updated last year
- A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial …☆1,195Updated 7 months ago
- PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)☆2,476Updated 2 years ago
- Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution☆1,506Updated 2 years ago
- A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep…☆710Updated last year
- collection of super-resolution models & algorithms☆747Updated 6 years ago
- A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.☆1,644Updated 4 years ago
- 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.☆4,696Updated 2 months ago
- pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802☆487Updated 6 years ago
- Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3☆599Updated last year
- PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"☆1,407Updated 9 months ago
- Benchmark and resources for single super-resolution algorithms☆770Updated 4 years ago
- Apply Waseerstein GAN into SRGAN, a deep learning super resolution model☆421Updated 6 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…☆523Updated 5 years ago
- Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)☆615Updated 8 years ago
- Image Deblurring using Generative Adversarial Networks☆2,561Updated 5 years ago
- A modern PyTorch implementation of SRGAN☆362Updated 7 years ago
- ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.☆6,184Updated 2 years ago
- Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformab…☆1,513Updated 3 years ago
- Progressive Growing of GANs for Improved Quality, Stability, and Variation☆6,116Updated 3 years ago
- Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"☆3,322Updated last year
- Multimodal Unsupervised Image-to-Image Translation☆2,663Updated 2 years ago
- Deep Multi-scale CNN for Dynamic Scene Deblurring☆697Updated 4 years ago
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras☆277Updated 5 years ago
- CVPR18 - Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform☆563Updated 6 years ago
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution☆654Updated 7 months ago
- VDSR (CVPR2016) pytorch implementation☆431Updated 3 years ago