AI RESEARCH
ViewFusion: Structured Spatial Thinking Chains for Multi-View Reasoning
arXiv CS.CL
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ArXi:2603.06024v1 Announce Type: new Multi-view spatial reasoning remains difficult for current vision-language models. Even when multiple viewpoints are available, models often underutilize cross-view relations and instead rely on single-image shortcuts, leading to fragile performance on viewpoint transformation and occlusion-sensitive cases. We present ViewFusion, a two-stage framework that explicitly separates cross-view spatial pre-alignment from question answering.