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Our SOTA world model, Echo, reconstructs high-quality scenes from sparse inputs and fills missing areas using its world knowledge. That means far less capture, data, and prep to produce geometrically consistent, multi-room reconstructions. We can’t wait to share it. Public release coming soon

SpAItial AI

4,738 subscribers

10,999 просмотров • 3 месяцев назад •via X (Twitter)

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Комментарии: 9

Фото профиля AI Mastery Guide

AI Mastery Guide2 месяцев назад

Filling in missing areas with world knowledge instead of raw capture could cut scanning time down a lot.

Фото профиля Agoran

Agoran2 месяцев назад

Can you get architecs as clients so they can mass produce large nice sturdy properties for low low prices?

Фото профиля SpAItial AI

SpAItial AI3 месяцев назад

Try Echo today: App: Developer Api: Create with agents:

Фото профиля Ella Tech & Tool

Ella Tech & Tool2 месяцев назад

This is wild Less data, better results. Can’t wait for Echo

Фото профиля Victoria Scott $

Victoria Scott $2 месяцев назад

"Echo-2 looks incredible. Moving from flat video generations to physically grounded, interactive 3D spaces is a massive leap forward."

Фото профиля Bblack

Bblack2 месяцев назад

Less capture, more world. Echo is about to make 3D effortless 🔥

Фото профиля Alice The Ai Expert

Alice The Ai Expert2 месяцев назад

Amazing Less capture, more world. Echo turns sparse inputs into full, geometrically consistent scenes.

Фото профиля RAZA | AI EXPLORER

RAZA | AI EXPLORER2 месяцев назад

World models are unlocking incredible possibilities. Excited to see Echo in action.

Фото профиля willie

willie2 месяцев назад

This is insane. Can you share the details of 'Sparse inputs' - how many panoramas to create the scene in the demo?

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Large, consistent, and high-quality 3D worlds from simple iPhone recordings. Works for multi-room scenes, fills missing gaps consistently while maintaining high quality, and it’s super easy to use. Now in beta with partners and coming soon to the SpAItial API. Link to the scenes in the comments so you can navigate this world yourself 👇🏽

Large, consistent, and high-quality 3D worlds from simple iPhone recordings. Works for multi-room scenes, fills missing gaps consistently while maintaining high quality, and it’s super easy to use. Now in beta with partners and coming soon to the SpAItial API. Link to the scenes in the comments so you can navigate this world yourself 👇🏽

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78,785 просмотров • 1 месяц назад

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We got a robot to clean up homes that were never seen in its training data! Our new model, π-0.5, aims to tackle open-world generalization. We took our robot into homes that were not in the training data and asked it to clean kitchens and bedrooms. More below⤵️

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537,029 просмотров • 1 год назад

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94,683 просмотров • 1 год назад

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18,903 просмотров • 11 месяцев назад

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Over the Reality 🌐

34,753 просмотров • 1 месяц назад

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Matthias Niessner

18,351 просмотров • 4 месяцев назад

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Nishanth Kumar

83,024 просмотров • 1 год назад

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Grok Potato

32,252 просмотров • 8 месяцев назад

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Presidency | Rwanda

54,501 просмотров • 1 год назад