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SRGAN (Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) implementation using PyTorch framework - dongheehand/SRGAN-PyTorch
and Wai-Ho Kwok}, title = {SRGAN-PyTorch: A PyTorch Implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network}, year = {2018}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/twhui/SRGAN-PyTorch}} ...
PyTorch 1.1.0 Pillow 5.1.0 numpy 1.14.5 scikit-image 0.15.0 Datasets DIV2K Pre-trained model SRResNet SRGAN Train & Test Train python main.py --LR_path ./LR_imgs_dir --GT_path ./GT_imgs_dir Test python main.py --mode test --LR_path ./LR_imgs_dir --GT_path ./GT_imgs_...
A PyTorch implementation of SRGAN based on CVPR 2017 paper Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. Requirements Anaconda PyTorch conda install pytorch torchvision -c pytorch opencv conda install opencv Datasets Train、Val Dataset The train and val datasets...
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" - GitHub - star0071/SRGAN: A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Singl
PyTorch:SRGAN代码实现 转自https://github.com/eriklindernoren/PyTorch-GAN#super-resolution-gan 数据集为:img_align_celeba 1. 首先导入相关模块,并设置系统环境: importargparseimportosimportnumpyasnpimportmathimportitertoolsimportsysimporttorchvision.transformsastransformsfromtorchvision.utilsimportsave_image,make_...
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" - GitHub - leftthomas/SRGAN: A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Sin
follow this repo: https://github.com/aladdinpersson/Machine-Learning-Collection/tree/master/ML/Pytorch/GANs/SRGAN paper: https://arxiv.org/pdf/1609.04802.pdf 介绍 号称是第一个将GAN应用于图像超分辨率的论文 Super-Resolution, SR Single Image Super Resolution, SISR ...