Zhichao Zhai, Menglei Zhao, Guikun Chen, Zihao Yan, Kanzhi Wu, Wenguan Wang, Jun Xiao · 2026 · arXiv
DOI: 10.48550/arXiv.2610.30127 · open-access PDF
语言模型解读任务和生成程序的能力为3D空间推理提供了有前途的基础,但在3D场景中遵循空间指示需要程序构建地理参照,语言留下暗示性。在这项工作中,我们介绍了VoxProg,该模型通过Voxel编程制定了3D对象的位置:一种语言模型将任务的解释转化为可执行的程序,通过局部Voxel视图的场景表面。
Machine translation (Meta M2M100); the English original follows.
Language models' abilities to interpret tasks and generate programs offer a promising basis for 3D spatial reasoning. Yet following spatial instructions in 3D scenes requires programs to construct geometric references that language leaves implicit. In this work, we introduce VoxProg, which formulates 3D object placement through voxel programming: a language model translates task interpretations into executable programs over local voxel views of scene surfaces. Because these views index surface geometry on regular grids with explicit coordinates and neighborhood relations, an evidence program c
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