Niantic Spatial | Real-world foundation models for physical AI | Niantic Spatial, Inc.

AI・コンピュータービジョン・グラフィクス分野トップカンファレンスにて論文を発表、世界の主要研究機関と連携するグローバルな学際的チーム

Localization that works in places it has never seen. ACE-G learns from tens of thousands of environments, so it recognizes where a camera is even under new angles or lighting it wasn't trained on. That means positioning that holds up when conditions change, without recapturing the scene.

3D scenes built from the sky down, not just the ground up. Cross-View Splatter combines street-level photos with satellite imagery to fill the gaps ground photos alone leave behind. That means faster, cheaper 3D coverage of large outdoor spaces without capturing every angle by hand.

Drop the right object in the right spot using plain language. PlaceIt3D takes a 3D scan and a text instruction, then figures out where an asset actually fits based on space and geometry. That means planning equipment or layouts inside a real scanned environment without manual 3D modeling.