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paperarXivTrust 82 · PrimaryPublished yesterdayLive · 1h ago

Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments

Large Language Models (LLMs) have demonstrated remarkable capabilities in 3D indoor synthesis for Manhattan environments. However, existing methods often fail to capture plausible object layout patterns in non-Manhattan settings, primarily because they struggle to model non-orthogonal spatial relationships, leading to high geometric violations and low physical fidelity. To address this challenge, we propose SPG-Layout, a novel text-driven framework designed to generate physically plausible indoor scenes within complex non-Manhattan environments. Specifically, we first utilize statistical prior

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  • Linked via arxiv authorXianhui Meng

    Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments

  • Linked via arxiv authorZirui Song

    Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments

  • Linked via arxiv authorYuchen Zhang

    Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments

  • Linked via arxiv authorLi Zhang

    Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments

  • Linked via arxiv authorYongxuan Lv

    Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments

  • Linked via arxiv authorXiuying Chen

    Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments

  • Linked via arxiv authorKun Wang

    Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments

  • Linked via arxiv authorYan Luo

    Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments

  • Linked via arxiv authorKai Chen

    Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments

  • Linked via arxiv authorHangjun Ye

    Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments

  • Linked via arxiv authorTianlong Chen

    Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments

  • Linked via arxiv authorJun Liu

    Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments

  • Linked via arxiv authorXiaoshuai Hao

    Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments

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