AI RESEARCH
Unlocking Dense Metric Depth Estimation in VLMs
arXiv CS.CV
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ArXi:2605.15876v1 Announce Type: new Vision-Language Models (VLMs) excel at 2D tasks such as grounding and captioning, yet remain limited in 3D understanding. A key limitation is their text-only supervision paradigm, which under-constrains fine-grained visual perception and prevents the recovery of dense geometry. Prior methods either distill geometry from external vision models,