Meta, through its Reality Labs Research division, has announced the development of SceneScript, a novel AI model designed for the reconstruction of 3D environments and the representation of physical space layouts using structured language commands. SceneScript employs an autoregressive, token-based approach to directly produce full scene models as sequences of structured language commands, enabling the direct inference of a room's geometry. This breakthrough technology is seen as a significant milestone towards the realization of advanced augmented reality (AR) glasses, bridging the physical and digital worlds. SceneScript's introduction is part of Meta's broader initiative to advance AI and XR (extended reality) technologies, with the model being capable of generating 100k procedurally synthetic environments. The technology aims to enhance the capabilities of AI agents in understanding and describing 3D spaces, marking a groundbreaking bridge between 3D modeling and language models.
This is insanely cool. AI + XR. 100k procedurally generated synthetic environments. "SceneScript uses next token prediction like an LLM, but instead of natural language it predicts architectural tokens." ๐คฏ https://t.co/Wi3R82rGXu
๐ค Meta Unlocks 3D Scene Mastery with #SceneScript! ๐ @AIatMeta has unveiled #SceneScript - a novel method for reconstructing environments and representing the layout of physical spaces. A groundbreaking bridge between 3D and language models! ๐ https://t.co/0KIIIaw7tK https://t.co/a5LwJrzdwa
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Meta Reality Labs Research just introduced SceneScript, for 3D scene reconstruction and representing the layout of physical spaces using language models. More information in ๐งต 1/4 https://t.co/gltbyYA8zE
We believe SceneScript represents a significant milestone on the path to true AR glasses that will bridge the physical and digital worlds. As we dive deeper into this potential at Reality Labs Research, weโre thrilled at the prospect of how this pioneering approach will helpโฆ https://t.co/stb1U98A57
Today weโre introducing SceneScript, a novel method for reconstructing environments and representing the layout of physical spaces from @RealityLabs Research. Details โก๏ธ https://t.co/u8aDTZtDVm SceneScript is able to directly infer a roomโs geometry using end-to-end machineโฆ https://t.co/spvEftFk2N
๐ข Today, our team is excited to announce ๐บ๐๐๐๐๐บ๐๐๐๐๐: an end-to-end method for scene reconstruction from @RealityLabs Research, which enables AI agents to understand and describe 3D spaces. https://t.co/Te0pNtkFfS /๐งต https://t.co/Dj10bAJMPY
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"SceneScript" from @MetaAI reconstructs 3D indoor scenes using structured language commands๐คฏ๐คฏ https://t.co/ssemjqez9Z https://t.co/fVGIVof4Od
Meta announces SceneScript Reconstructing Scenes With An Autoregressive Structured Language Model We introduce SceneScript, a method that directly produces full scene models as a sequence of structured language commands using an autoregressive, token-based approach. Our https://t.co/rBhCRvNlEO
Meta presents SceneScript An AI model and method to understand and describe 3D spaces proj: https://t.co/VuI2GPuMSe abs: https://t.co/iPkBGm68hD https://t.co/7tYPb1dWnq