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OpenGround framework enhances 3D visual grounding with planning and online perception

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced OpenGround, a novel framework designed for open-world 3D visual grounding. This system addresses limitations in current methods by integrating Task-Chain Planning to break down complex queries into manageable sub-goals and Context-Guided Perception for online object recognition. OpenGround also includes a new dataset, OpenTarget, to facilitate evaluation in open-world scenarios. The framework demonstrates strong performance, achieving state-of-the-art results on ScanRefer and a significant improvement on the new OpenTarget dataset. AI

IMPACT Enhances AI's ability to understand and locate objects in complex 3D environments based on natural language.

RANK_REASON This is a research paper detailing a new framework and dataset for 3D visual grounding. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

OpenGround framework enhances 3D visual grounding with planning and online perception

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This is a research paper detailing a new framework and dataset for 3D visual grounding. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Wenyuan Huang, Zhenyu Zhang, Zhao Wang, Zhou Wei, Ting Huang, Fang Zhao, Jian Yang ·

    OpenGround: Planning-based Online Perception for Open-World 3D Visual Grounding

    arXiv:2512.23020v3 Announce Type: replace-cross Abstract: 3D visual grounding aims to locate objects based on natural language descriptions in 3D scenes. Existing supervised methods are limited by generalization and recent zero-shot methods typically rely on a predefined Object L…

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