In pursuit of that goal, they developed BrickGPT, which is a model that generates brick structures as a list of a brick-by-brick list. Structures made out of toy bricks, such as Lego bricks. And those structures, when they are built in real life, they will stand up and not collapse. Theirs is a quest for stability and physical possibility. But what advantages will we have once the model is stable? If we can make a model generate stable 3D outputs, it could have a lot of applications in manufacturing and design and architecture. For example, we could design some custom furniture for someone with specific needs - maybe the furniture has to be lower than usual. Or maybe someone could design houses and buildings very quickly using generative AI techniques. Those houses and buildings, of course, which will have to stand up. One challenge was how to determine if something is stable or will be stable when it is built in real life. That means running a full physics simulation to determine whether it is stable, which could be very time consuming and resource intensive. So the team built a physics model that is specific to these toy bricks, that accounts for all the forces that are applied to each brick. And then the physics simulation tries to set all the forces to zero by using an optimization technique. If that is possible, then there are no forces. The structure will not move and it will not fall down - it is stable. Otherwise, it is unstable and it will fall down. 5 DAILY ICCV Wednesday Ava Pun “It's way more than just Lego!”
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