AI RESEARCH
Learning Multi-View Spatial Reasoning from Cross-View Relations
arXiv CS.CV
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ArXi:2603.27967v1 Announce Type: new Vision-language models (VLMs) have achieved impressive results on single-view vision tasks, but lack the multi-view spatial reasoning capabilities essential for embodied AI systems to understand 3D environments and manipulate objects across different viewpoints. In this work, we