Point-3D LLM：研究令牌结构对大型语言模型3D场景理解的影响
Effectively representing 3D scenes for Multimodal Large Language Models (MLLMs) is crucial yet challenging. Existing approaches commonly only rely on 2D image features and use varied tokenization...
有效的3D场景表示对多模态大型语言模型至关重要。本文比较了视频和点云表示，提出了一种结合3D点云特征的新方法，显著提升了性能。实验结果表明，经过巧妙采样和排序的点基结构在多个3D理解基准上表现优异，能够与视频基结构相媲美。
