projected-gan VS Real-ESRGAN

Use the images as a training dataset for this

If you are looking for more traditional noise -> xxx GANs, go for https://github.com/autonomousvision/projected_gan/. Another recent work is https://github.com/nupurkmr9/vision-aided-gan.

Made with two ml algorithms, one that generates a tiny 256x256 'base' image, and another that upscales it. Both of them have been trained on a astrophotography-based dataset, but the model architecture are open sourced from Projected-Gan and Real-ESRGAN respectively.

github: https://github.com/autonomousvision/projected_gan

Projected GANs are maybe the currently best model for small datasets. You could also check out StyleGAN 2 ada. https://github.com/autonomousvision/projected_gan

Researchers from the University of Tübingen, Max Planck Institute for Intelligent Systems, and Heidelberg have studied ways to improve GAN training by using pre-trained representations. The researchers proposed a more effective strategy (Projected-GAN) that combines features across channels and resolutions.

It's not exactly what you're after, as it's anime specific and you need to process the video yourself (eg disassemble to frames, run the upscaler, then assemble back to a movie file), but Real-ESRGAN is really good:

https://github.com/xinntao/Real-ESRGAN/

It's pretty brilliant for cleaning up very old, low resolution anime.

Just a note you can run upscaling on your home desktop with Real-ESRGAN:

https://github.com/xinntao/Real-ESRGAN

Maybe Real-ESRGAN is a good fit? Even tho it's a couple of years old

I'm glad you noticed! I upscaled the icon from the wiki using Real-ESRGAN's 4xplus anime model, then photoshopped out the text. Worked far better than waifu2x.

A: Try using High-res Fix and R-ESRGAN 4x+ Anime6B as upscaler

Maybe try this one https://github.com/xinntao/Real-ESRGAN it may work even better.

Screenshotted from the official music video, upscaled to 4k using a state of the art ML model.

Do you happen to remember which chapter has that "scene"? You could also try to enhance it yourself, I did it using Real-ESRGAN, which is really easy to use.