Awesome-LLM-3D
Curated list of Multi-modal Large Language Model resources for 3D world tasks
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Overview
Awesome-LLM-3D is a meticulously curated list focusing on multi-modal large language models (LLMs) within the 3D domain. It encompasses a comprehensive range from foundational LLM-driven applications to cutting-edge benchmarks in areas like unified understanding, reasoning, and embodied agents.
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Awesome-LLM-3D 
🏠 About
Here is a curated list of papers about 3D-Related Tasks empowered by Large Language Models (LLMs). It contains various tasks including 3D understanding, reasoning, generation, and embodied agents. Also, we include other Foundation Models (CLIP, SAM) for the whole picture of this area.
This is an active repository, you can watch for following the latest advances. If you find it useful, please kindly star ⭐ this repo and cite the paper.
🔥 News
- [2026-03-20] Our benchmark paper Real-3DQA is now available at ICLR 2026! Following our survey paper, we now release the benchmark paper on genuine 3D spatial understanding. Project Page
- [2025-10-21] 📢 We have released the second version of our survey, updated to include literature up to July 2025:
👉 When LLMs Step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models - [2024-05-16] Check out the first survey paper in the 3D-LLM domain: When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models
- [2024-01-06] Runsen Xu added chronological information and Xianzheng Ma reorganized it in Z-A order for better following the latest advances.
- [2023-12-16] Xianzheng Ma and Yash Bhalgat curated this list and published the first version;
Table of Contents
- Awesome-LLM-3D
- 3D Unified Understanding and Generation (LLM)
- 3D Understanding (LLM)
- 3D Understanding (other Foundation Models)
- 3D Reasoning
- 3D Generation
- 3D Embodied Agent
- 3D Benchmarks
- Contributing
3D Unified Understanding and Generation via LLM
| Date | Keywords | Institute (first) | Paper | Publication | Others |
|---|---|---|---|---|---|
| 2025-11-07 | Omni-View | PKU | Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model based on Multiview images | ICLR 2026 | github |
| 2025-08-16 | UniUGG | FDU | UniUGG: Unified 3D Understanding and Generation via Geometric-Semantic Encoding | ICLR 2026 | github |
3D Understanding via LLM
| Date | Keywords | Institute (first) | Paper | Publication | Others |
|---|---|---|---|---|---|
| 2026-03-07 | 3D-RFT | BIGAI | [3D-RFT: Reinforcement Fine-Tuning for Video-based 3D Scene Unde |