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ActiveVisionLab/Awesome-LLM-3D resource

Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources observed · 2026-08-28

github.com/ActiveVisionLab/Awesome-LLM-3D · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

61/100

  • Activity 77
  • Release rhythm 35
  • Longevity 70

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 992
  • days_rel: n/a
  • days_push: 139
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2253 stars · 142 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of papers and resources on multi-modal large language models applied to 3D tasks, accompanying a survey paper. It covers 3D understanding, reasoning, generation, embodied agents, and benchmarks.

Use cases

  • find papers on 3D scene understanding with LLMs
  • research 3D generation using large language models
  • survey embodied AI agents in 3D worlds
  • find benchmarks for 3D spatial reasoning
  • keep up with latest 3D-LLM research
  • find foundation models like SAM and CLIP for 3D tasks

When to choose

  • you need a literature review of LLM-based 3D research
  • you are starting research in 3D multi-modal learning
  • you want a maintained, chronological paper list with a companion survey

When to avoid

  • you need runnable code or a library rather than a paper list
  • you want a dataset or benchmark itself rather than links to papers

Facets

learning-resource · maturity active

documentation machine-learning nlp computer-vision artificial-intelligence large-language-models computer-vision awesome-lists tutorials awesome-list 3d llm survey curated-papers embodied-agents 3d-understanding 3d-generation web-server

1 source

Member repositories

RepositoryRoleHealth v2
ActiveVisionLab/Awesome-LLM-3Dmain61

For agents

markdown · JSON · MCP: product_card(name="ActiveVisionLab/Awesome-LLM-3D")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem