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cs.CV2026
Consistent Yet Wrong: Evidence Insensitivity in Spatial Vision-Language Models
S Divakar Bhat, Toshihiko Yamasaki
Spatial reasoning is fundamental to robotics, autonomy, and embodied AI, yet modern vision-language models (VLMs) remain unreliable on metric distance queries. A common assumption…
cs.CV2026
Spectral Probing of Feature Upsamplers in 2D-to-3D Scene Reconstruction
Ling Xiao, Yuliang Xiu, Yue Chen +2
A typical 2D-to-3D pipeline takes multi-view images as input, where a Vision Foundation Model (VFM) extracts features that are spatially upsampled to dense representations for 3D r…