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Atlas: A World Model for Spatial Intelligence

worldlabs.ai

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Re: Atlas: A World Model for Spatial Intelligence

#61
post #60

This is incredible. One potential application that I'm thinking about already is the rapid iteration of video-game map blocking. Being able to drop in some 'initial state' configuration and then have it procedurally generate a handful of alternative configurations could make rapid prototyping a significantly quicker experience, especially if you wanted to see what a potential end result could look like. Furthermore,…

This is completely useless for video game map blockout. You need collisions for level blockout, which this does not provide. It makes gaussian splats, not geometry.

3DGS to Mesh conversion does exist: https://www.kiriengine.app/blog/what-is-3dgs-to-mesh

Furthermore, AI can be used to generate 3D primitives from Gaussian splats and point clouds. Sure, it would require an intermediary stage should the Atlas team not build it into a first-class offering, but the process is not exactly untenable.

Re: Atlas: A World Model for Spatial Intelligence

#62
These models will open so many new possibilities for 3d workflows. Reminds me of a few years ago when I wad beta testing Stable Diffusion and realising it was going to change the way people design, visualize and present things forever. These models feel similar (if they work as advertised). I tested the first version of the World Labs model and it was OK but quite limited (quality of reconstruction, type of inputs and outputs) this one feels like a big breakthrough happened, and the model is probably much bigger. Looking forward to test it.

Re: Atlas: A World Model for Spatial Intelligence

#63
I build an AR CAD app for iOS (http://graphite3d.com), and the gap I keep hitting is that world models are great at reconstructing space but bad at editable geometry — users want parametric surfaces they can dimension, not meshes. Curious whether Atlas exposes structured scene primitives.
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