In this video, we dive into an intriguing research paper from NVIDIA, titled "LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models."
With LLaMA-Mesh, NVIDIA researchers were able to empower large language models (LLMs) with the capability to understand and generate 3D mesh objects, by using text only.
We will explain the OBJ format, which is used by LLaMA-Mesh to encode 3D mesh objects as text. Then, we describe how the model was created, by fine-tuning LLaMA-3.1-8B-Instruct over a text-3D instructions dataset which the researchers have crafted. Finally, we review interesting results from the paper.
Paper page - https://arxiv.org/abs/2411.09595
Code - https://github.com/nv-tlabs/LLaMA-Mesh
Nvidia's Blog - https://research.nvidia.com/labs/toro...
Our blog - https://aipapersacademy.com/llama-mesh/
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The video was edited using VideoScribe - https://tidd.ly/44TZEiX
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Chapters:
0:00 Introduction
1:17 How can LLMs Understand 3D?
3:00 Building LLaMA-Mesh
4:22 Results