SOURCE-LINKED INTELLIGENCE
LangStreet: Persistent Language Fields for Anchor-Decoded Street Gaussians
Language Gaussian fields implicitly assume that the primitive carrying semantics remains identifiable across views. This assumption breaks in scalable anchor-decoded representations, where persistent anchors generate view-conditioned child Gaussians whose geometry and appearance vary with the camera. We introduce Ours, a persistent language field for such structured Gaussian scenes. Our key idea is semantic ownership: transient children route observations, while persistent decoder slots and their parent anchors own the language field. We use alpha-compositing responsibilities to accumulate add
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T14:31:02.000Z
First collected: 2026-09-20T19:02:05.452Z. This is not the publication date.