VapourSynth GAN Implementation using RRDBNet, based on ESRGAN's implementation
This is a single image super-resolution generative adversarial network handler for VapourSynth. Since VapourSynth will take the frames from a video, and feed it to VSGAN, it is essentially a single video super-resolution gan. It is a direct port of ESRGAN by xinntao, so all results, accomplishments, and such that ESRGAN does, VSGAN will do too.
Using the right pre-trained model, on the right image, can have tremendous results.
Here's an example from a US Region 1 (NTSC) DVD of American Dad running with VSGAN (model not public)
:camera: Qualitive Comparisons against other Super-Resolution Strategies
Following comparisons were taken from ESRGAN's repo
:wrench: Installation and Usage
Check out the Wiki, it will explain everything you may need to know.
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