Yanbo Wang, Siqi Luo, Siyu Zhang, Chenming Zhu, Wenzhao Zheng, Qian Yu, Juncheng Yan, Bin Fu · 2026 · arXiv
DOI: 10.48550/arXiv.2610.28622 · open-access PDF
空间智能最近通过空间定位图像编辑等生成任务进行了评估,但从部分多视觉观测中生成空间一致视图的语言引导生成仍然未被探索。我们引入了MindView,一个基准用于生成多视觉空间智能的基准,从三个室内数据集中的513个场景中采集了1500个样本。
Machine translation (Meta M2M100); the English original follows.
Spatial intelligence has recently been assessed through generative tasks such as spatially grounded image editing, yet language-guided generation of spatially consistent views from partial multi-view observations remains underexplored. We introduce MindView, a benchmark for generative multi-view spatial intelligence with 1,500 samples from 513 scenes across three indoor datasets. Its seven tasks form two families: geometry-dominant tasks specify changes in camera position and orientation, while semantics-dominant tasks require inferring target viewpoints by grounding referred objects and inter
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