AI RESEARCH
Perception-Aware Multimodal Spatial Reasoning from Monocular Images
arXiv CS.CV
•
ArXi:2603.06985v1 Announce Type: new Spatial reasoning from monocular images is essential for autonomous driving, yet current Vision-Language Models (VLMs) still struggle with fine-grained geometric perception, particularly under large scale variation and ambiguous object appearance. We propose a simple yet effective perception-aware multimodal reasoning framework that equips VLMs with explicit object-centric grounding ability.