Learning Geometric Representations from Videos for Spatial Intelligent Multimodal Large Language Models 事件

Learning Geometric Representations from Videos for Spatial Intelligent Multimodal Large Language Models arXiv:2606.05833v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) excel at 2D semantic understanding but lack intrinsic 3D awareness, resulting in representations that fail to maintain geometric and spatial consistency across video frames. Given the scarcity of large-scale 3D data, we present GeoVR, a novel framework that learns geometric representations using purely 2D