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ENTITY ScanRefer

ScanRefer

PulseAugur coverage of ScanRefer — every cluster mentioning ScanRefer across labs, papers, and developer communities, ranked by signal.

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Total · 30d
6
6 over 90d
Releases · 30d
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Papers · 30d
6
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TIER MIX · 90D
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SENTIMENT · 30D

2 day(s) with sentiment data

RECENT · PAGE 1/1 · 6 TOTAL
  1. RESEARCH · CL_119507 ·

    PruneGround framework enhances 3D visual grounding with spatial pruning

    Researchers have introduced PruneGround, a novel framework designed to improve 3D Visual Grounding by focusing on language-relevant regions within 3D scenes. This approach utilizes Language-Guided Spatial Pruning (LGSP)…

  2. RESEARCH · CL_107907 ·

    New multi-agent framework boosts zero-shot 3D understanding · 2 sources tracked

    Researchers have introduced a novel collaborative multi-agent framework for zero-shot 3D understanding, addressing limitations in existing video-based methods. The system employs a Planning Agent to strategically select…

  3. RESEARCH · CL_50767 ·

    AgentGrounder enables zero-shot 3D visual grounding on point clouds

    Researchers have introduced AgentGrounder, a novel framework for zero-shot 3D visual grounding that operates directly on colored point clouds. This approach bypasses the need for task-specific 3D training by employing a…

  4. TOOL · CL_45025 ·

    SceneGraphGrounder uses 3D scene graphs for zero-shot visual grounding

    Researchers have introduced SceneGraphGrounder, a novel framework designed for zero-shot 3D visual grounding. This approach tackles the challenge of locating objects in unstructured environments using natural language b…

  5. RESEARCH · CL_08577 ·

    New frameworks MCM-VG and DEGround advance zero-shot 3D visual grounding

    Researchers have developed two new frameworks, DEGround and MCM-VG, to improve ego-centric 3D visual grounding, a key task for embodied intelligence. DEGround utilizes a homogeneous pipeline that shares object represent…

  6. RESEARCH · CL_06582 ·

    Chat-Scene++ advances 3D LLM scene understanding with context-rich object identification

    Researchers have introduced Chat-Scene++, a novel framework designed to enhance multi-modal large language models (MLLMs) for 3D scene understanding. This approach structures 3D scenes as sequences of objects, incorpora…