
SRGAN-tensorflow
by brade31919 (personal account)
Tensorflow implementation of the SRGAN algorithm for single image super-resolution (description from the project’s GitHub page)
Repository facts
- Stars
- 857
- Forks
- 277
- Open issues and pull requests
- 39
- Primary language
- Python
- License
- MIT License (MIT)
- Owner
- brade31919 · Personal account
- Created
- Jul 16, 2017
- Last push
- May 12, 2023
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 2,265: tensorlayer/SRGAN
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
3,466 starsPythonNo license file detectedLast push Feb 22, 2024
Rank 7,774: HasnainRaz/Fast-SRGAN
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
695 starsPythonMITLast push Oct 14, 2026
Rank 4,205: LoSealL/VideoSuperResolution
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
1,685 starsPythonMITLast push Sep 11, 2020
Rank 4,562: krasserm/super-resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
1,514 starsPythonApache-2.0Last push May 13, 2022
Rank 970: 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,…
8,395 starsPythonApache-2.0Last push Jul 21, 2024
Rank 5,235: leftthomas/SRGAN
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
1,251 starsPythonMITLast push Jul 21, 2024