CrossView Suite: Harnessing Cross-view Spatial Intelligence of MLLMs with Dataset, Model and Benchmark

In three linesCrossView Suite introduces CrossViewSet (1.6M multi-view samples), CrossViewBench (evaluation benchmark), and CrossViewer (three-stage framework: Perception → Alignment → Reasoning) to enhance cross-view spatial reasoning in MLLMs. A multi-agent data engine generates annotated data covering 17 fine-grained task types.

Summary generated by Claude — human-verified