By pairing semantic understanding with explicit 3D spatial modeling in a unified representation, SceneBind enables cross-modal scene understanding and retrieval that works across vision, audio, and language without requiring task-specific training.
SceneBind is a multimodal AI system that understands scenes by combining what things are (semantics) with where they are (3D spatial location) across vision, audio, and language. Unlike existing systems that focus mainly on identifying objects, SceneBind explicitly models spatial relationships and uncertainty, enabling better scene retrieval and object localization across different modalities.