Geometry-Guided Camera Motion Understanding in VideoLLMs
Camera motion is a fundamental geometric signal that shapes visual perception and cinematic style, yet current video-capable vision-language models (VideoLLMs) rarely represent it explicitly and often fail on fine-grained motion primitives. We address this gap with a framework of $\textbf{benchmarking}$, $\textbf{diagnosis}$, and $\textbf{injection}$. We curate $\textbf{CameraMotionDataset}$, a large-scale synthetic dataset with explicit camera control, formulate camera motion as constraint-aware multi-label recognition, and construct a VQA benchmark--$\textbf{CameraMotionVQA}$. Across diverse off-the-shelf VideoLLMs, we observe substantial errors in recognizing camera motion primitives. ...
| Authors | Haoan Feng, Sri Harsha Musunuri, Guan-Ming Su |
|---|---|
| Primary category | cs.CV |
| Published | 13 March 2026 |
| Last updated at source | 24 March 2026 |
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