OMAR: Open-World Multi-Attribute Reasoning for Scene-Conditioned Shelf Organization

What this work does

OMAR organizes previously unseen objects by inferring shelf conventions from observed arrangements. It combines multi-view object grounding, persistent semantic scene graphs, language-model placement reasoning, and geometric execution checks.