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LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models research paper by NVIDIA, 2024

NVIDIA · Nov 14, 2024 · Multimodal and robotics · 100 citations · 78 upvotes · unverified

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What it shows

The work demonstrates the capability of LLMs to generate 3D meshes from text by introducing a novel approach to tokenize 3D mesh data, allowing the unification of 3D and text modalities without expanding the model's vocabulary.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Zhengyi Wang, Jonathan Lorraine, Yikai Wang and 4 more
arXiv
2411.09595 · PDF
Venue
arXiv.org
Citations
100, 5 influential · Semantic Scholar
Upvotes
78 · Hugging Face
Code
github.com/nv-tlabs/LLaMa-Mesh
Lab
NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 5Sep 25, 2026
Citationsfirst count: 100Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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