SRGAN-tensorflow
Image UpScaler
Tensorflow implementation of a generative adversarial network for single image super-resolution
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
848 stars
42 watching
282 forks
Language: Python
last commit: over 3 years agocnndeep-learninggenerative-adversarial-networkpretrained-modelssrgansuper-resolutiontensorflowtf-slimvgg19
Related projects:
| Repository | Description | Stars |
|---|---|---|
 trevor-m/tensorflow-srgan | An implementation of a generative adversarial network (GAN) used to improve image quality through super-resolution | 39 |
 leverxgroup/esrgan | An enhanced deep learning framework for image super-resolution tasks using Generative Adversarial Networks and PyTorch. | 151 |
 tensorlayer/srgan | Generative Adversarial Network based Single Image Super-Resolution | 3,342 |
 warrengreen/srcnn | Software for enhancing satellite images through deep learning techniques | 76 |
 preritj/segmentation | Deep learning models for semantic segmentation of images | 101 |
 cszn/srmd | Develops a single convolutional network to handle various image degradations with improved scalability and efficiency | 427 |
| tensorlayer/dagan | Generative adversarial network for fast MRI reconstruction from compressed data | 175 |
 hasnainraz/fc-densenet-tensorflow | Re-implementation of a 100-layer fully convolutional network architecture for image segmentation | 123 |
 twtygqyy/pytorch-srresnet | An implementation of a deep learning model for single image super-resolution using a generative adversarial network | 487 |
 arunmichaeldsouza/tensorflow-image-detection | A tool for training and classifying images using Google's Inception model and TensorFlow | 329 |
| cszn/bsrgan | A deep learning-based approach to super-resolution of degraded images. | 1,222 |
 tensorflow/gan | Provides tools and utilities for training and evaluating Generative Adversarial Networks (GANs) in TensorFlow | 944 |
 zsdonghao/text-to-image | A TensorFlow implementation of generating images from text descriptions using a Generative Adversarial Network (GAN) architecture | 602 |
 charlesshang/tffrcnn | A TensorFlow-based implementation of Faster R-CNN object detection using pre-trained ResNet networks and custom datasets. | 875 |
 karoly-hars/gan_image_colorizing | This project explores image colorization using generative adversarial networks on the CIFAR10 dataset. | 11 |