I used AI Gigapixel: https://topazlabs.com/ai-gigapixel/
It's a full-fledged program. It works pretty well out of the box, which is why I used it. There are other methods, such as ESRGAN, which are much more difficult to setup and need a lot of training. Eventually they will outdo this mod probably, because they can be trained specifically on game upscales. In the meantime this works fine.
Program was Topaz A.I. Gigapixel. I downloaded it mostly for fun, but they give you unrestricted usage of the program for 30 days so I've just been throwing anything on my computer at it out of curiosity.
Inspired by the Riven images upscaling by /u/kingdomakrilic (see the post on r/GameUpscale) and the people recently applying the same approach to many games, I've done a test with Myst III images. In the past I did some tests with waifu2x and letsenhance.io but the results were only marginally better.
This time the quality is significantly improved, at 4x the initial size (640px->1560px)! To keep things simple, I've started by using some existing upscaling software (Topaz Labs AI Gigapixel) which already give satisfying results out of the box. I guess that compared to Riven images, Exile images are more realistic and have much less dithering, so their statistics are closer to real world images, on which the Topaz tech was trained. If I encounter strong artifacts I'll move to ESRGAN/SRTGAN and maybe retraining.
I'll keep updating the post with additional images from the other Ages.
I used AI Gigapixel. It's more of a plug-and-play neural network. There's info about how it works on their site.
It might be interesting to go to /r/GameUpscale. Look into neural networks like ESRGAN. Those are more complex to use, but they can be trained by people themselves. Potentially they could do a much better job than Gigapixel, which was designed to upscale photos.
Enhancements look amazing, nice work.
Thanks for mentioning the software used.
Looks like a nice app and will probably grab a copy for work.
A.I. Gigapixel If anyone else was curious.
There's a program called AI gigapixel that is the industry standard for resizing and enlarging photos. Photoshop is good for a little resizing, but AI Gigapixel is much better if you want to get the best results
The original FMV was created in high quality and in high resolution (for the time) but then to actually fit the FMV's on disc.
They had to downgrade the resolution and the FMV’s in-game don't resemble the original unaltered source material.
Sadly the process itself is quite complex and takes a bit of effort. The software can be found here https://topazlabs.com/ai-gigapixel/ but keep in mind that you have to extract all the frames before it can be "fed" into the software.
No longer true.
https://topazlabs.com/ai-gigapixel/
Uses machine learning to figure out what the new pixels should be, based on a large corpus of existing photos. Does a pretty nice job of 3x'ing many different types of subject matter in my experience.
The long term strategy is pretty simple.
They want to do something like A.I. GigaPixel except in real-time. The hope they'll be able to increase perceived image quality with fewer transistors than brute forcing higher resolutions by using dedicated accelerators (Tensor cores).
Well, the IA is trained for the game already, the question was "does adding/changing textures troubles the IA", iirc in FF XV, you can change/add costumes, weapons, change NPCs looks, and I doubt they upload every mods to nvidia so the IA can "learn about".
A table in battlefield is a table in RE, for a human, but both tables/games are totally different internally (the physics impl., rendering engine, the way models work, etc, etc) which is why every game needs their own training / dlss implementation. dlss doesn't rely on detecting specific objects, it does lot of maths and average pixels color where it detects "aliasing", giving your GPU a faster answer than if your GPU had to compute AA on its own.
A new table added to BF or RE won't make DLSS glitchy/bugged (in theory) ;).
Another good example of "general patterns" (without japanese beds this time) is ai-gigapixel , their software is trained to upscale pictures but it wasn't submitted all the pictures in the world, yet it does an awesome job at upscaling up to 600%.
It has always been almost impossible to de-pixelize an image and have it look convincing.
The closest solution at this time is AI Gigapixel, new software that uses machine learning to help "re-create" the detail that wasn't there. It seems to be remarkably superior to the algorithmic solutions thus far. The hardware requirements are pretty stiff, it needs a mountain of computing power. But people seem to be very impressed with the results. Though it too has its limits.
The page for AI Gigapixel, the software I'm using explains it a bit:
https://topazlabs.com/ai-gigapixel/
Basically it's this: A neural network analyzes thousands of photo pairs to learn how details usually get lost. The algorithm learns to "fill in" information in new images based on what it has learned... effectively adding new detail to your photo.
A good real-life example is those image captchas where you have to identify cars, signs, etc. We do it instinctively, but computers need to learn this. Because we tell them what is what by filling in the captcha, they start to understand too.
Machine learning is way beyond me, The software am using is made by Topaz Labs and is called A.I. Gigapixel, I don't think they would share their algorithm and stuffs but you could take a look here: Topaz Labs - A.I. Gigapixel
There's also this: Neural Enhance
and another github project that i saw some time ago, hope i helped!