Final Fantasy 7 > WIP

AI Neural Networks being used to generate HQ textures for older games

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OmniStrife:
Hey guys, I've stumbled upon a thread in Resetera where a new method of improving old textures is discussed,
The results are amazing!



Apparently anyone can use the method.

Here's the thread title:
--- Quote ---Credit to Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi/Arxiv on their paper about Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. I suggest you give it a read if you're interested in this kind of thing.

https://arxiv.org/pdf/1609.04802.pdf

Credit to Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Chen Change Loy, Yu Qiao, Xiaoou Tang for their paper on ESRGAN and for providing the ESRGAN repo with pretrained models

https://arxiv.org/pdf/1809.00219.pdf
https://github.com/xinntao/ESRGAN

Guide if ya wanna try it yourself:
Credit to kingdomakrillic their amazing work!

https://kingdomakrillic.tumblr.com/post/178254875891/i-figured-out-how-to-get-esrgan-and-sftgan

(also you don't need an NVIDIA card for this just go into test.py and change “device = torch.device(‘cuda’)“ to “ device = torch.device(‘cpu’)”. No AMD/Intel though)
(if you want to try this, make sure you have the image at its native resolution!)
(for the best results, don't use compressed strawberries off the internet)

NVIDIA has their own Generative Adverserial Network but you have to sign up to use it as it is still in beta: https://developer.nvidia.com/gwmt

Please read through the whole thread! I won't be updating this OP with newer images and instead'll be posting newer stuff within the thread! There's some cool stuff below!

Explanation:

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. Furthermore ESRGAN

--- End quote ---

source (with more examples): https://www.resetera.com/threads/ai-neural-networks-being-used-to-generate-hq-textures-for-older-games-you-can-do-it-yourself.88272/

Fraggoso:
I'm working on something for FFIX with esrgan. :)

Ausar:
Farg I want to thank you for all of your hard work. I can’t wait to see what you have in store for FFIX. It’s a game that holds a special place in my heart and helped my though a very rough time in my adolescence.

I’m sure you are ask frequently, but any idea when we might see your ESRGAN work come to fruition?

satsuki:

--- Quote from: Fraggoso on 2018-12-29 22:13:11 ---I'm working on something for FFIX with esrgan. :)

--- End quote ---
Same here for FFVII (filters done, ingame optimisation and layer bug solving WIP)

Fraggoso:

--- Quote from: Ausar on 2019-01-05 18:41:47 ---Farg I want to thank you for all of your hard work. I can’t wait to see what you have in store for FFIX. It’s a game that holds a special place in my heart and helped my though a very rough time in my adolescence.

I’m sure you are ask frequently, but any idea when we might see your ESRGAN work come to fruition?

--- End quote ---

I'm doing a bit more than just a simple mod.
I'm trying to get all the assets bundled with a nice how to so everyone can just jump into making their own Background mod for FFIX. That way no one needs to deal with exporting them and sorting them properly. :)
In between I'm making the mod as well so it'll take some time but not as long as my first mod as I now know all the details to all scene and were I had problems before. :)

@Satsuki Do you know if there's a way to configure ESRGAN so that subfolders are read as well as added to the results folder?
I've added an issue to the repo https://github.com/DmitryUlyanov/deep-image-prior/issues/43 but maybe I just didn't read and it's already possible?

That way mods would be more easy to incorporate mods with their 100 or even 1.000 subfolders.

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