MingtaoGuo / SRGAN-with-WGAN-Loss-TensorFlow
SRGAN (super resolution generative adversarial networks) with WGAN loss function in TensorFlow
☆27Updated 6 years ago
Alternatives and similar repositories for SRGAN-with-WGAN-Loss-TensorFlow:
Users that are interested in SRGAN-with-WGAN-Loss-TensorFlow are comparing it to the libraries listed below
- Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch☆279Updated 6 years ago
- SRGAN (Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) implementation using PyTorch framework☆46Updated 3 years ago
- A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Gen…☆87Updated 6 years ago
- Simplely implement the paper 'FormResNet: Formatted Residual Learning for Image Restoration' by TensorFlow☆17Updated 5 years ago
- Tensorflow implementation of DeblurGAN(Blind Motion Deblurring Using Conditional Adversarial Networks)☆83Updated 4 years ago
- A modern PyTorch implementation of SRGAN☆363Updated 7 years ago
- Simply implement the paper: cGANs with Projection Discriminator by TensorFlow☆40Updated 5 years ago
- Simple implementation of the paper (DnCNN)'Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising'☆61Updated 6 years ago
- If you have the original image and the blurred image, you can use this code to estimate the blur kernel.☆11Updated 6 years ago
- Multi-level Wavelet-CNN for Image Restoration☆235Updated 4 years ago
- Pytorch implementation for EDSR (CVPR2017)☆63Updated 7 years ago
- This repository is as a research project in the field of super resolution. It uses RDN as the generator and spectral norm is used in disc…☆25Updated 4 years ago
- Single Hyperspectral Image Denoising, Inpainting, Super-Resolution☆132Updated 5 years ago
- An implement of SRGAN(Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) for tensorflow version☆50Updated 7 years ago
- This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).☆297Updated 4 years ago
- re-implementation super resolution pytorch using ESRGAN☆100Updated 4 years ago
- Pytorch implement: Residual Dense Network for Image Super-Resolution☆141Updated 6 years ago
- Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.☆143Updated 5 years ago
- A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"☆249Updated 6 years ago
- Pytorch implementation for LapSRN (CVPR2017)☆287Updated 6 years ago
- Unofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks☆69Updated 5 years ago
- The code for 'Pansharpening multispectral remote‐sensing images with guided filter for monitoring impact of human behavior on environment…☆12Updated 2 years ago
- Comparing different similarity functions for reconstruction of image on CycleGAN. (https://tandon-a.github.io/CycleGAN_ssim/) Training cy…☆82Updated 4 years ago
- Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution☆45Updated 7 years ago
- Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN,…☆229Updated 2 years ago
- Pytorch implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution☆30Updated 7 years ago
- Implementation of style transfer by tensorflow, for detail please see the paper "Image Style Transfer Using Convolutional Neural Networks…☆53Updated 6 years ago
- ☆14Updated 3 years ago
- ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation☆270Updated 5 years ago
- Implementation of ESRGAN using TensoFlow☆16Updated 5 years ago