video2x VS ESRGAN

Another thing I've been meaning to try, but haven't yet, is hooking up VLC to https://github.com/k4yt3x/video2x/wiki or similar, since, yeah, while DVD quality is pretty decent, for certain genres sometimes I do want a bit more luscious detail.

Upscaling? Yup - but it's going to be local (and slow) https://github.com/k4yt3x/video2x

I've tried https://github.com/k4yt3x/video2x but mostly for anime. The recorded video I tried ended up looking real horror-show, but it was also an ancient 240p video I had hanging around.

You can use video2x to do this (I'd recommend this, as it's free and open source. Works best on animated content imo)

This seems to be based on ESRGAN which is supposed to be higher quality than waifu2x.

I downloaded https://github.com/xinntao/ESRGAN , I run it using command line, no gui.

Nerd info: Uses 3 different algorithms together: https://github.com/CompVis/stable-diffusion For generating source https://github.com/TencentARC/GFPGAN For repairing faces, mouths, eyes https://github.com/xinntao/ESRGAN For upscaling Paint.Net for manual retouching, cleanup and adjustments.

Code for https://arxiv.org/abs/1809.00219 found: https://github.com/xinntao/ESRGAN

Even if it's not a simple black and white image, you can get damn impressive results when upscaling images with GAN-based algorithms, like ESRGAN, together with a suitable pretrained model. Both are free of charge. The software can be tricky to use compared to Photoshop, though.

I use ESRGAN: https://github.com/xinntao/ESRGAN

There are two Generator architectures that are in the code, however these are actually just sitting there unused, likely from work that did not pan out because if you look at their inference code it's not used at all. Instead they directly import the plain old vanilla RRDB architecture from BasicSR yet again another Xinntao repository. Seeing the theme here.