Papers › Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning
Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning
Rao Fu, Jingyu Liu, Xilun Chen, Yixin Nie, Wenhan Xiong
This paper introduces Scene-LLM, a 3D-visual-language model that enhances embodied agents' abilities in interactive 3D indoor environments by integrating the reasoning strengths of Large Language Models (LLMs). Scene-LLM adopts a hybrid 3D visual feature representation, that incorporates dense spatial information and supports scene state updates. The model employs a projection layer to efficiently project these features in the pre-trained textual embedding space, enabling effective interpretation of 3D visual information. Unique to our approach is the integration of both scene-level and ego-centric 3D information. This combination is pivotal for interactive planning, where scene-level data supports global planning and ego-centric data is important for localization. Notably, we use ego-centric 3D frame features for feature alignment, an efficient technique that enhances the model's ability to align features of small objects within the scene. Our experiments with Scene-LLM demonstrate its strong capabilities in dense captioning, question answering, and interactive planning. We believe Scene-LLM advances the field of 3D visual understanding and reasoning, offering new possibilities for sophisticated agent interactions in indoor settings.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| 3D Question Answering (3D-QA) | SQA3D | Scene-LLM | Exact Match | 54.2 | #5 of 13 | Archive leaderboard | report |
| 3D Question Answering (3D-QA) | ScanQA Test w/ objects | Scene-LLM | BLEU-4 | 12.0 | #4 of 18 | Archive leaderboard | report |
| 3D Question Answering (3D-QA) | ScanQA Test w/ objects | Scene-LLM | CIDEr | 80 | #4 of 18 | Archive leaderboard | report |
| 3D Question Answering (3D-QA) | ScanQA Test w/ objects | Scene-LLM | Exact Match | 27.2 | #4 of 18 | Archive leaderboard | report |
| 3D Question Answering (3D-QA) | ScanQA Test w/ objects | Scene-LLM | METEOR | 16.6 | #4 of 18 | Archive leaderboard | report |
| 3D Question Answering (3D-QA) | ScanQA Test w/ objects | Scene-LLM | ROUGE | 40.0 | #4 of 18 | Archive leaderboard | report |
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