AI RESEARCH
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence
arXiv CS.AI
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ArXi:2505.23747v2 Announce Type: replace-cross Recent advancements in Multimodal Large Language Models (MLLMs) have significantly enhanced performance on 2D visual tasks. However, improving their spatial intelligence remains a challenge. Existing 3D MLLMs always rely on additional 3D or 2.5D data to incorporate spatial awareness, restricting their utility in scenarios with only 2D inputs, such as images or videos. In this paper, we present Spatial-MLLM, a novel framework for visual-based spatial reasoning from purely 2D observations.