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Today we’re introducing SceneScript, a novel method for reconstructing environments and representing the layout of physical spaces from Reality Labs at Meta Research. Details ➡️ SceneScript is able to directly infer a room’s geometry using end-to-end machine learning and represent it using language. Compared to previous approaches, this results... show more
334,349 Aufrufe • vor 2 Jahren •via X (Twitter)
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SceneScript uses next token prediction like an LLM, but instead of natural language it predicts architectural tokens. To train it, we created a synthetic dataset of 100,000 unique indoor environments. More on the Aria Synthetic Environments dataset ➡️

We believe SceneScript represents a significant milestone on the path to true AR glasses that will bridge the physical and digital worlds. We’re thrilled about how this work will help shape the future of AI and ML research.

@RealityLabs How can I use this on quest

@RealityLabs Can you give this to the quest team so my Quest 2 doesn't ask me to redraw the boundary EVERY time (while also asking me to share point data EVERY time to avoid same?) @MetaQuestVR

@RealityLabs Your move, Tim Apple.

@RealityLabs Very excited to see this! Aligns extremely well with @passio_ai digital twin technology! We are scanning homes with phones into 2D blueprints and 3D

@RealityLabs gave this a soundtrack.

@RealityLabs When will the API be available? Or the code?

@RealityLabs This is very cool, what is the nex step? pre-trained object detection?

@RealityLabs Meta Madness!




