Researchers propose G2SR, a geometric method for fast and memory-efficient Gaussian-based surface reconstruction from few RGB views, achieving 69-89 reconstructions per second within 203 MB of GPU mem…
Researchers introduced Ground3D-LMM, a unified model that processes point clouds and optional RGB images to enable 3D spatial conversations with point-grounded responses and metric numeric outputs. Th…
Researchers introduced LINet, a multi-stream neural network for RGB-D scene classification that outperforms existing methods through a continuous integration strategy. LINet uses a novel Linear Integr…
Leading vision-language models (VLMs) produce view-invariant and consistent answers to spatial distance queries even when those answers are incorrect, revealing a weak link between predictions and act…