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HARMONY: Hierarchical Agentic Reasoning for MONocular Image-to-Scene Synthesis

arXiv · AI, language, vision and robotics · article · Sep 22, 2026 · UTC

Compositional 3D scene reconstruction has recently been explored from two directions: agentic reasoning that provides semantic understanding of spatial relationships but lacks precise alignment with input images; and visual geometry foundation models that predict dense point maps from input images but the reconstruction quality is limited. Therefore, recovering a complete 3D scene from a single monocular image with accurate inter-object relationships and high-fidelity reconstruction quality remains challenging. In this paper, we present HARMONY, a hierarchical chain-of-thought framework that l

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First collected: 2026-09-23T04:11:12.117Z. This is not the publication date.