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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

AI at Meta

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334,349 views • 2 years ago •via X (Twitter)

Science & Technology

Anya Rossi• Live Now

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AI at Meta2 years ago

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 ➡️

AI at Meta2 years ago

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.

WaifuDev 🌸☢️2 years ago

@RealityLabs How can I use this on quest

mattwallace2 years ago

@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

Matthew Sabia2 years ago

@RealityLabs Your move, Tim Apple.

Starson 🇺🇸🚀🇺🇸2 years ago

@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

edward, the ☠.2 years ago

@RealityLabs gave this a soundtrack.

Carmen Cruzado2 years ago

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

Mikameel ᯅ2 years ago

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

༄Brandon Rosado🕴2 years ago

@RealityLabs Meta Madness!

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