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a tiny AI 0.5B just turned a normal phone video into a fully labeled 3D room run phone. SpatialLM that understands walls, doors, furniture, and everything layout. it trained as a standard multimodal LLM. Most vision models see pixels, SpatialLM sees space. Open models :
64,716 Aufrufe • vor 2 Tagen •via X (Twitter)
18 Kommentare

It seems the 0.5B model handles the point cloud → layout step, not the whole video pipeline. The repo requires separate 3D reconstruction, alignment and scale correction, and the published inference code runs on CUDA. If you ran it on a phone, how did you do it?

For anyone trying their own video: the official example first reconstructs a point cloud, then aligns and scales it before running SpatialLM. Worth checking the cost of that whole pipeline when targeting a phone.

Amazing stuff

How are you getting a 3d point cloud from your phone camera? Do you know what a 3d point cloud is?

Nice

This is amazing , ty.

super cool

Does it need 3D data?

This is ai

Imaging budgeting set locations with this

Will it labeling in real time or after video process??

Would love yo try this for my autonomous drone, lets Connect!

i feel like i saw this 1.5 years ago

Very cool! Thanks for sharing. Having a hard time thinking of real world applications for this...

Could this be run in real time?

很早的模型了

I just want apple’s measure tool to do exactly this

群核科技的项目

