Here are
48 public repositories
matching this topic...
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Updated
May 10, 2020
Python
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
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Jun 26, 2020
Python
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
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Feb 20, 2020
Jupyter Notebook
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
Updated
Jun 29, 2020
Python
collection of super-resolution models & algorithms
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Dec 20, 2018
Python
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
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May 23, 2020
Python
Awesome Generative Adversarial Networks with tensorflow
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Jan 2, 2020
Python
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
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Apr 20, 2020
Python
A modern PyTorch implementation of SRGAN
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Nov 9, 2017
Python
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
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Apr 19, 2019
Python
Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
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Jul 23, 2018
Jupyter Notebook
Updated
Jun 5, 2020
Python
Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)
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May 29, 2019
Python
A Caffe Implementation of SRGAN
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
Updated
Jun 3, 2020
Python
An implement of SRGAN(Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) for tensorflow version
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Jan 31, 2018
Python
An Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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Apr 12, 2019
Python
A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network". And another PyTorch WGAN-gp implementation of SRGAN referring to "Improved Training of Wasserstein GANs".
Updated
Dec 15, 2018
Python
Generative Adversarial Network for single image super-resolution in high content screening microscopy images
Updated
Jan 20, 2018
Jupyter Notebook
Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
Updated
Nov 26, 2018
Python
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs
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Jun 26, 2020
Python
Updated
Jul 8, 2020
Python
SRGAN (super resolution generative adversarial networks) with WGAN loss function in TensorFlow
Updated
Nov 23, 2018
Python
Photo Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
Updated
May 10, 2020
Jupyter Notebook
PyTorch version of the paper: "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Updated
Jun 2, 2017
Python
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
Updated
Dec 3, 2019
Python
PyTorch implementation of the paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Updated
Nov 20, 2017
Python
Object-Oriented Image Super-Resolution
Updated
Mar 31, 2019
Python
Generating super-resolution images using GANs
Updated
Mar 29, 2020
Jupyter Notebook
Built and trained SISR GAN models with loss analysis and performance comparison (TF + Keras)
Updated
Aug 20, 2019
Jupyter Notebook
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