MonoVoc: Decoupling Geometry and Semantics for Lightweight Monocular Open-Vocabulary 3D Gaussians
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
Record details
Published: 30 July 2026
Source: arXiv cs.AI
Category: Research
Topics: Environment
Retrieved: 31 July 2026
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ethics.ai (30 July 2026), “MonoVoc: Decoupling Geometry and Semantics for Lightweight Monocular Open-Vocabulary 3D Gaussians,” evidence record 15231, https://ethics.ai/record/15231 (originally published by arXiv cs.AI).
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