SpatiO: Adaptive Test-Time Orchestration of Vision-Language Agents for Spatial Reasoning
Understanding visual scenes requires not only recognizing objects but also reasoning about their spatial relationships. Unlike general vision-language tasks, spatial reasoning requires integrating multiple inductive biases, such as 2D appearance cues, depth signals, and geometric constraints, whose reliability varies across contexts. This suggests that effective spatial reasoning requires spatial adaptability: the ability to flexibly coordinate different reasoning strategies depending on the input. However, most existing approaches rely on a single reasoning pipeline that implicitly learns a fixed spatial prior, limiting their ability to adapt under distribution changes. Multi-agent syste...
| Authors | Chan Yeong Hwang, Miso Choi, Sunghyun On et al. |
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| Primary category | cs.CV |
| Published | 23 April 2026 |
| Last updated at source | 27 June 2026 |
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