MingtaoGuo / SRGAN-with-WGAN-Loss-TensorFlow
SRGAN (super resolution generative adversarial networks) with WGAN loss function in TensorFlow
☆26Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for SRGAN-with-WGAN-Loss-TensorFlow
- Simplely implement the paper 'FormResNet: Formatted Residual Learning for Image Restoration' by TensorFlow☆17Updated 5 years ago
- Simple implementation of the paper (DnCNN)'Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising'☆61Updated 5 years ago
- A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Gen…☆87Updated 5 years ago
- SRGAN (Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) implementation using PyTorch framework☆45Updated 3 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
- Simply implement the paper: cGANs with Projection Discriminator by TensorFlow☆40Updated 5 years ago
- A simple code of CycleGAN which is easy to read is implemented by TensorFlow☆20Updated 6 years ago
- re-implementation super resolution pytorch using ESRGAN☆100Updated 4 years ago
- Implementation of style transfer by tensorflow, for detail please see the paper "Image Style Transfer Using Convolutional Neural Networks…☆50Updated 6 years ago
- Pytorch implementation for EDSR (CVPR2017)☆63Updated 6 years ago
- pytorch implementation of Super Resolution CNN as discussed in http://personal.ie.cuhk.edu.hk/~ccloy/files/eccv_2014_deepresolution.pdf☆60Updated 6 years ago
- Multi-level Wavelet-CNN for Image Restoration☆228Updated 4 years ago
- Pytorch implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution☆30Updated 7 years ago
- A Keras Implementation of "Deep Image Prior".☆13Updated 6 years ago
- awesome super resoluiton paper collections w/o code including paper citation☆22Updated 5 years ago
- Learning a No-Reference Quality Metric for Single-Image Super-Rolution☆132Updated 3 years ago
- Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch☆276Updated 6 years ago
- Tensorflow implementation of DeblurGAN(Blind Motion Deblurring Using Conditional Adversarial Networks)☆80Updated 4 years ago
- An implement of SRGAN(Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) for tensorflow version☆50Updated 6 years ago
- Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.☆142Updated 5 years ago
- Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.☆141Updated 7 years ago
- Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.☆338Updated 3 years ago
- pytorch implementation of tv loss☆103Updated 7 years ago
- ICASSP 2020 - ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network - ICPR 2020 - Tarsier: Evolving Noise …☆131Updated 8 months ago
- A course project on convolutional neural networks for single image super-resolution☆116Updated 5 years ago
- Real-world Noisy Image Denoising: A New Benchmark☆233Updated 3 years ago
- GAN-based image super-resolution using perceptual content losses (tensorflow implementation)☆19Updated 4 years ago
- Simple realization of papers in oppo Research Institute super score competition.☆67Updated 2 years ago
- Simplely implement the paper 'Semantic Image Inpainting with Deep Generative Models' by TensorFlow☆19Updated 4 years ago
- This repository implements the paper "Single Image Super-Resolution via a Holistic Attention Network" published in ECCV2020.☆11Updated 3 years ago