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VapourSynth GAN Implementation using RRDBNet, based on ESRGAN's implementation

Project description

VSGAN

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:page_facing_up: Introduction

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) Example 1

:camera: Qualitive Comparisons against other Super-Resolution Strategies

Following comparisons were taken from ESRGAN's repo qualitive1 qualitive2 qualitive3 qualitive4

:wrench: Installation and Usage

Check out the Wiki, it will explain everything you may need to know.

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