VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)
Project description
VSGAN is a Single Image Super-Resolution Generative Adversarial Network (GAN) which uses the VapourSynth processing framework to handle input and output image data.
Documentation
More information, installation, building, quick start, and more, is available at rlaphoenix.github.io/VSGAN.
The source code to the Documentation page is available on the gh-pages branch and can be built and deployed locally.
You could also just read the markdown files found in the _docs folder.
License
This project is released under the MIT license.
Please read and agree to the license before use, it can be found in the LICENSE file.
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