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3.SpatialVLM - Endowing Vision-Language Models With Spatial Reasoning Capabilities by ohdonghoon9 is a document available to read on EtoBox.

The document introduces SpatialVLM, a framework designed to enhance Vision-Language Models (VLMs) with spatial reasoning capabilities by generating a large-scale spatial VQA dataset from real-world images. It addresses the limitations of current VLMs in understanding 3D spatial relationships and proposes a data synthesis pipeline that leverages advanced computer vision techniques to create rich spatial annotations. The resulting VLM demonstrates improved qualitative and quantitative spatial reasoning, unloc

Author
ohdonghoon9
Language
EN