{
  "id": 15231,
  "url": "https://arxiv.org/abs/2607.28300v1",
  "title": "MonoVoc: Decoupling Geometry and Semantics for Lightweight Monocular Open-Vocabulary 3D Gaussians",
  "summary": "Open vocabulary 3D scene understanding is essential for next-generation interactive systems, empowering users to intuitively query and navigate reconstructed environments using natural language. However, current 3D Gaussian frameworks are often bottlenecked by restrictive multiview capture requirements, costly scene-specific optimization, and the massive memory overhead of storing dense language features. We present a novel, training-free pipeline that fundamentally reimagines this paradigm by e",
  "authors": "Pouya Ardekhani, Zahra Dehghanian, Morteza Abolghasemi, Hamid R. Rabiee",
  "category": "research",
  "topics": "environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-30T14:41:02.000Z",
  "fetched_at": "2026-07-31T05:10:57.675Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/15231",
  "original_url": "https://arxiv.org/abs/2607.28300v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}