Very nice work. Seems very similar to the Oasis Minecraft simulator.
World Emulation via Neural Network
11–20 of 48 posts
Re: World Emulation via Neural Network
#12I think this is very interesting because you seem to have reinvented NeRF, if I’m understanding it correctly. I only did one pass through but it looks at first glance like a different approach entirely.
More interesting is that you made an easy to use environment authoring tool that (I haven’t tried it yet) seems really slick.
Both of those are impressive alone but together that’s very exciting.
Re: World Emulation via Neural Network
#13This is great but I think I'll stick to mushrooms.
Yeah, the similarities to psychedelics with some of this stuff is remarkable.
Re: World Emulation via Neural Network
#14I love this! Your results seem comparable to the counter strike or minecraft models from a bit ago with massively less compute and data. It's particularly cool that it uses real world data. I've been wanting to do something like this for a while, like capturing a large dataset while backpacking in the cascades :)
I didn't see it in an obvious place on your github, do you have any plans to open source the training code?
Re: World Emulation via Neural Network
#15This seems incredibly powerful.
Imagine a similar technique but with productivity software.
And a pre-trained network that adapts quickly.
Re: World Emulation via Neural Network
#16Earlier quoted context omitted.
Yes! This was a solo project done in my free time :) to learn about WMs and get more practice training GANs. The special aspect of NNs (in the context of simulating worlds) is that NNs can mimic entire worlds from videos alone, without access to the source code (in the case of pokemon) or even without the source code having existed (as is the case for the real-world forest trail mimicked in this post). They mimic the…
You mentioned it took 100 gpu hours, what gpu did you train on?
Mostly 1xA10 (though I switched to 1xGH200 briefly at the end, lambda has a sale going). The network used in the post is very tiny, but I had to train a really long time w/ large batch to get somewhat-stable results.
Re: World Emulation via Neural Network
#17Very nice work. Seems very similar to the Oasis Minecraft simulator. https://oasis.decart.ai/
Yup, definitely similar! There are a lot of video-game-emulation World Models floating around now, https://worldarcade.gg had a list. In the self-driving & robotics literature there have also been many WMs created for policy training and evaluation. I don't remember a prior WM built on first-person cell-phone video, but it's a simple enough concept that someone has probably done it for a student project or something :)
Re: World Emulation via Neural Network
#18This is great but I think I'll stick to mushrooms.
Yeah, the similarities to psychedelics with some of this stuff is remarkable.
It makes me think that maybe our visual perception is similar to what this program is doing in some ways.
I wonder if there are any computer vision projects that take a similar world emulation approach?
Imagine you collected the depth data also.
Re: World Emulation via Neural Network
#19This is great but I think I'll stick to mushrooms.
For some reason, psilocybin causes me to randomly just lose consciousness, and LSD doesn't. Weird stuff.
Re: World Emulation via Neural Network
#20Gotta say, Ive always wanted to try building something like this myself. That kind of grind pays off way more than shiny announcements imo.