Awesome-LLM-3D
Curated list of Multi-modal Large Language Model resources in 3D world
GraphCanon updated Oct 12, 2026 · GitHub synced Oct 12, 2026
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Decision brief
Awesome-LLM-3D is a curated list of resources and papers related to 3D tasks empowered by Large Language Models (LLMs), including 3D understanding, reasoning, generation, and embodied agents. It also includes other types
Good fit when
- Use Awesome-LLM-3D when you need a comprehensive list of resources and papers focused on the intersection of 3D tasks and Large Language Models, including recent advancements like the Real-3DQA paper.
- Utilize this repository if you are interested in the latest research on 3D understanding, reasoning, generation, and embodied agents, as it includes chronological updates and is actively maintained.
Avoid when
- Avoid using Awesome-LLM-3D if you are looking for a repository that includes practical code implementations or tutorials, as it primarily focuses on curating research papers and resources.
- Do not use this repository if you require real-time updates or interactive tools for 3D tasks, as it is a static list of papers and resources without interactive features.
- Requirements:
- The repository does not specify any programming language requirements, making it accessible to a wide range of users.; Users should have a basic understanding of 3D tasks and Large Language Models to effectively utilize the resources provided.
Observed Sep 30, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (178d since push)
- As of Oct 12, 2026
- Provenance
- Not a fork · Organization account
- As of Oct 12, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/ActiveVisionLab/Awesome-LLM-3DSimilar tools
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Evidence and technical details
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Overview
Awesome-LLM-3D is a curated list of papers and resources related to 3D tasks empowered by Large Language Models (LLMs), including 3D understanding, reasoning, generation, and embodied agents. It also includes other Foundation Models like CLIP and SAM.
Capability facts
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README
Awesome LLM 3D <a href="" target=' blank' <img src="https://visitor badge.laobi.icu/badge?page id=activevisionlab.llm3d&left color=gray&right color=blue" </a <div align="center" <img src="assets/Figure1 v8 25.6.9.png" width="100%" </div 🏠 About Here is a curated list of papers a...
For agents
This page has a .md twin and JSON over the API.