HLG: Comprehensive 3D Room Construction via Hierarchical Layout Generation
Xiping Wang, Yuxi Wang, Mengqi Zhou, Junsong Fan, and Zhaoxiang Zhang

TL;DR
This paper introduces HLG, a hierarchical approach for detailed 3D indoor scene generation that improves realism and structural coherence by refining object placements from coarse to fine levels.
Contribution
HLG is the first method to employ a hierarchical coarse-to-fine approach for fine-grained 3D scene generation, enhancing realism and structural accuracy.
Findings
Outperforms existing methods in realism and coherence
Effective in reducing placement errors and object intersections
Generates structurally plausible indoor scenes
Abstract
Realistic 3D indoor scene generation is crucial for virtual reality, interior design, embodied intelligence, and scene understanding. While existing methods have made progress in coarse-scale furniture arrangement, they struggle to capture fine-grained object placements, limiting the realism and utility of generated environments. This gap hinders immersive virtual experiences and detailed scene comprehension for embodied AI applications. To address these issues, we propose Hierarchical Layout Generation (HLG), a novel method for fine-grained 3D scene generation. HLG is the first to adopt a coarse-to-fine hierarchical approach, refining scene layouts from large-scale furniture placement to intricate object arrangements. Specifically, our fine-grained layout alignment module constructs a hierarchical layout through vertical and horizontal decoupling, effectively decomposing complex 3D…
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