CamReasoner: Reinforcing Camera Movement Understanding via Structured Spatial Reasoning

ArXi:2602.00181v3 Announce Type: replace-cross Understanding camera dynamics is a fundamental pillar of video spatial intelligence. However, existing multimodal models predominantly treat this task as a black-box classification, often confusing physically distinct motions by relying on superficial visual patterns rather than geometric cues. We present \textbf{CamReasoner}, a framework that reformulates camera movement understanding as a structured inference process to bridge the gap between perception and cinematic logic.