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Forums - Gaming Discussion - Neural Networks to enhance old game visuals

thetonestarr on 11 June 2019
"Long story short, Enhanced Super Resolution Generative Adverserial Network, or ESRGAN, is an upscaling method that is capable of generating realistic textures during single image super-resolution. Basically it's a machine learning technique that uses a generative adverserial network to upres smaller images. By doing it over several passes, it will usually produce an image with more fidelity than methods such as SRCNN and SRGAN. In fact, ESRGAN is based off SRGAN. The difference between the two is that ESRGAN improves on SRGAN's network architecture, adversarial loss and perceptual loss."


Explained like you're a fifth grader: Neural networks operate by recreating data by passing and comparing information from node to node, based on a set of instructions. By processing the data multiple times following their specific method, with zero human interaction it seems to consistently process noticeably improved upscaled resolutions and graphics.


Source: https://www.resetera.com/threads/ai-neural-networks-being-used-to-generate-hq-textures-for-older-games-you-can-do-it-yourself.88272/



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AbbathTheGrim on 11 June 2019

What kind of sorcery is this?! Burn the witches!

Spoiler!
Simply amazing!


Nintendo is selling their IPs to Microsoft and this is true because:

http://gamrconnect.vgchartz.com/thread.php?id=221391&page=1

sc94597 on 11 June 2019

Now for developers to start using machine learning techniques in their remasters of pre-rendered game assets please. Easy $$$.



thismeintiel on 11 June 2019

It would be nice if this was used next gen by Sony if they made the PS5 able to play PS1 and PS2 games.



 

Chazore on 11 June 2019
thismeintiel said:
It would be nice if this was used next gen by Sony if they made the PS5 able to play PS1 and PS2 games.

Been watching people posting different shots of all sorts of games being repacked with this AI. I'd say that all of them should be using this for the ancient games, going forward.



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fatslob-:O on 11 June 2019

This is old news but still compelling to use machine learning to enhance textures ...



vivster on 12 June 2019
mZuzek said:
This looks... fake lol.

I mean, it looks too good to be true. If it does become a thing, wow.

It already is a thing. Nvidia's latest GPUs already feature dedicated AI cores to do things like this. It's upon developers to implement it.

Though it's important that it isn't an out of the box fix. The AI needs to be trained first. So you can't just apply any AI to an old game and get these results. You need one that has already a huge library that it can apply.



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HoloDust on 12 June 2019
mZuzek said:
This looks... fake lol.

I mean, it looks too good to be true. If it does become a thing, wow.

This has been actually going on for some time now, there are textures packs coming out every few days for various games via ESRGAN.

Now, this is not just "put in there and voila, magic"...there's necessary work on cleaning up images after it, but it's immensely great tool that preserves original art direction (unlike many HD texture packs) and cuts significantly time to final product.



Barkley on 13 June 2019

I've seen the work they did on the PSX-Era final fantasy games too, Square should be using this to upgrade the pre-rendered backgrounds in FFVIII if they're not going to pay artists to do it.

"Final Fantasy 7's pre-rendered backgrounds looked pretty pixelated on the PC, upscaled from their original tiny resolution. But now you can make them look remarkably better with the FF7 Remako HD graphics mod, which is available to download as a beta today. "Using state of the art AI neural networks, this upscaling tries to emulate the detail the original renders would have had,"



Zkuq on 13 June 2019

Depending on the game, it seems like this can look either great or fairly poor. I mean, it's definitely impressive, but for games with fairly barren environments, I think I actually prefer the low-resolution original because in high resolution, the emptiness of environments really stands out.