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#

srgan

Here are 106 public repositories matching this topic...

BasicSR

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

  • UpdatedJul 21, 2024
  • Python

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

  • UpdatedFeb 22, 2024
  • Python

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

  • UpdatedSep 11, 2020
  • Python

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

  • UpdatedMay 13, 2022
  • Python

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

  • UpdatedJul 21, 2024
  • Python

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

  • UpdatedMay 12, 2023
  • Python

collection of super-resolution models & algorithms

  • UpdatedDec 20, 2018
  • Python

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

  • UpdatedJul 18, 2024
  • Python

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

  • UpdatedApr 18, 2025
  • C++

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

  • UpdatedApr 19, 2019
  • Python

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

  • UpdatedJul 23, 2018
  • Jupyter Notebook

Applying SRGAN technique implemented inhttps://github.com/zsdonghao/SRGAN on videos to super resolve them.

  • UpdatedJun 5, 2020
  • Python

🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥

  • UpdatedJul 27, 2021
  • Jupyter Notebook

Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)

  • UpdatedJul 25, 2024
  • 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".

  • UpdatedDec 15, 2018
  • Python

Various models for handling underexposure, overexposure, super-resolution, shadow removal, etc.

  • UpdatedDec 16, 2020
  • Python

A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs

  • UpdatedJun 21, 2022
  • Python

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