arXiv Computer Vision
Dyn-3D: Unveiling and Resolving Ego-Motion Ambiguity in Vision-Language Models
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Hugging Face Trending Papers
Jun 4
Learning Geometric Representations from Videos for Spatial Intelligent Multimodal Large Language Models
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 video sequences.