AI Spatial Memory

AI 3D Memory

AI Spatial Memory Methods

Spatial understanding

VoxRep: Enhancing 3D Spatial Understanding in 2D Vision-Language Models | Menlo Research

VoxRep is a novel framework that enables standard Vision-Language Models to interpret structured 3D voxel data, facilitating richer spatial comprehension vital for advanced AI systems.

https://menlo.ai/blog/voxrep

VoxRep: Enhancing 3D Spatial Understanding in 2D Vision-Language Models | Menlo Research

VLMs excel at semantic understanding but struggle with spatial relationships. Current VLMs have a real spatial blindspot, caused by encoder design and 1D alignment methods. To fix this, spatial grounding itself must be treated as a separate design axis, not just semantic capability.

arxiv.org

https://arxiv.org/pdf/2601.09954

AI Spatial Memory

AI 3D Memory

Spatial understanding

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