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SpatialVLM is a visual language model developed by Google DeepMind that can understand and reason about spatial relationships. Through training on large-scale synthetic data, it acquires the ability to perform quantitative spatial reasoning intuitively like humans. This not only improves its performance on spatial VQA tasks, but also opens up new possibilities for downstream tasks such as chained spatial reasoning and robot control.
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