Google AI Research Proposes SpatialVLM: A Data Synthesis and Pre-Training Mechanism to Enhance Vision-Language Model VLM Spatial Reasoning Capabilities

Vision-language models (VLMs) are increasingly prevalent, offering substantial advancements in AI-driven tasks. However, one of the most significant limitations of these advanced models, including prominent ones like GPT-4V, is their constrained spatial reasoning capabilities. Spatial reasoning involves understanding objects’ positions in three-dimensional space and their spatial relationships with one another. This limitation is particularly pronounced […]

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