srgan
There are 105 repositories under srgan topic.
XPixelGroup/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.
tensorlayer/SRGAN
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
LoSealL/VideoSuperResolution
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
krasserm/super-resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
leftthomas/SRGAN
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
brade31919/SRGAN-tensorflow
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
kozistr/Awesome-GANs
Awesome Generative Adversarial Networks with tensorflow
soapisnotfat/super-resolution
collection of super-resolution models & algorithms
HasnainRaz/Fast-SRGAN
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
sgrvinod/a-PyTorch-Tutorial-to-Super-Resolution
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
aitorzip/PyTorch-SRGAN
A modern PyTorch implementation of SRGAN
amanchadha/iSeeBetter
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
alohaleonardo/Super_Resolution_with_CNNs_and_GANs
Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
deepak112/Keras-SRGAN
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
ravisvi/super-resolution-videos
Applying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.
braindotai/Real-Time-Super-Resolution
🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥
soochan-lee/MR-GAN
Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)
goldhuang/SRGAN-PyTorch
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".
wkhademi/ImageEnhancement
Various models for handling underexposure, overexposure, super-resolution, shadow removal, etc.
amanchadha/FRVSR-GAN
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
kvpratama/gan
Various GAN Model
ShenghaiRong/caffe_srgan
A Caffe Implementation of SRGAN
Saurabh23/mSRGAN-A-GAN-for-single-image-super-resolution-on-high-content-screening-microscopy-images.
Generative Adversarial Network for single image super-resolution in high content screening microscopy images
twhui/SRGAN-PyTorch
An Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
nnUyi/SRGAN
An implement of SRGAN(Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) for tensorflow version
kartikgill/TF2-Keras-GAN-Notebooks
Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)
trevor-m/tensorflow-SRGAN
Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
rush2406/Self-Supervised-Learning-for-Fine-grained-Image-Classification
Applied Self Supervised Learning techniques such as Jigsaw as pretext task, SRGAN and SimCLR for fine-grained classification
AvivSham/SRGAN-Keras-Implementation
Photo Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
MingtaoGuo/SRGAN-with-WGAN-Loss-TensorFlow
SRGAN (super resolution generative adversarial networks) with WGAN loss function in TensorFlow
shantanu1109/Coursera-DeepLearning.AI-GANs-Specialization
This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman
Ahmad-Zaki/Single_Image_Super_Resolution
A tensorflow-based implementation of SISR using EDSR, SRResNet, and SRGAN
boomb0om/PyTorch-SRGAN-tutorial
A tutorial to super resolution and SRGAN in PyTorch
kayr7/PyTorch-SRGAN
PyTorch version of the paper: "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
ApurbaSengupta/Super-Resolution-Images
Generating super-resolution images using GANs
lizhuoq/SRGAN_Pytorch
A PyTorch implementation of SRGAN