srgan
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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.
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Jul 21, 2024 - Python
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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Feb 22, 2024 - Python
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
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May 13, 2022 - 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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Jul 21, 2024 - Python
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
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May 12, 2023 - Python
collection of super-resolution models & algorithms
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Dec 20, 2018 - Python
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
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Mar 6, 2025 - Python
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
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Jul 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
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Apr 18, 2025 - C++
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
Applying SRGAN technique implemented inhttps://github.com/zsdonghao/SRGAN on videos to super resolve them.
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Jun 5, 2020 - Python
🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥
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Jul 27, 2021 - Jupyter Notebook
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".
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Dec 15, 2018 - Python
Various models for handling underexposure, overexposure, super-resolution, shadow removal, etc.
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Dec 16, 2020 - Python
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
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Jun 21, 2022 - Python
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