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3DGraphLLM

3DGraphLLM is a model that uses a 3D scene graph and an LLM to perform 3D vision-language tasks.

3d-scene-graph 3d-scene-understanding 3d-visual-grounding llms

Creat：2024-11-12T18:31:20

Update：2025-03-26T23:30:17

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Official implementation of CVPR23 paper "Diffusion-based Generation, Optimization, and Planning in 3D Scenes"

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?GrowSP in PyTorch (CVPR 2023)

Awesome Open Vocabulary Detection And Segmentation

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Awesome OVD-OVS - A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future

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[NeurIPS 2024] SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation

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An Efficient, Flexible, and General deep learning framework that retains minimal.

StereoScene

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[IJCAI 2024]Official PyTorch Implementation of Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion

VLM Grounder

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[CoRL 2024] VLM-Grounder: A VLM Agent for Zero-Shot 3D Visual Grounding

UniGoal

[CVPR 2025] UniGoal: Towards Universal Zero-shot Goal-oriented Navigation

Situation3D

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[CVPR 2024] Situational Awareness Matters in 3D Vision Language Reasoning