title: CHOrD: Generation of Collision-Free, House-Scale, and Organized Digital
    Twins for 3D Indoor Scenes with Controllable Floor Plans and Optimal Layouts
summary: We introduce CHOrD, a novel framework for scalable synthesis of 3D indoor
  scenes, designed to create house-scale, collision-free, and hierarchically
  structured indoor digital twins. In contrast to existing methods that directly
  synthesize the scene layout as a scene graph or object list, CHOrD incorporates
  a 2D image-based intermediate layout representation, enabling effective
  prevention of collision artifacts by successfully capturing them as
  out-of-distribution (OOD) scenarios during generation. Furthermore, unlike
  existing methods, CHOrD is capable of generating scene layouts that adhere to
  complex floor plans with multi-modal controls, enabling the creation of
  coherent, house-wide layouts robust to both geometric and semantic variations
  in room structures. Additionally, we propose a novel dataset with expanded
  coverage of household items and room configurations, as well as significantly
  improved data quality. CHOrD demonstrates state-of-the-art performance on both
  the 3D-FRONT and our proposed datasets, delivering photorealistic, spatially
  coherent indoor scene synthesis adaptable to arbitrary floor plan variations.
paper_authors._id: 67d8c02c924be985c26ff727
paper_authors.name: Chong Su
paper_authors._id: 67d8c02c924be985c26ff728
paper_authors.name: Yingbin Fu
paper_authors._id: 67d8c02c924be985c26ff729
paper_authors.name: Zheyuan Hu
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2025-03-18T08:08:40.263Z
paper_authors._id: 653053c6657ae56cdb5c490b
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/653053c6657ae56cdb5c490b/Zl0bZZ7-tD9AR6muE8esU.png
paper_authors.fullname: Peter Hu
paper_authors.type: user
paper_authors.user: Peter2023HuggingFace
paper_authors._id: 67d8c02c924be985c26ff72a
paper_authors.name: Jing Yang
paper_authors._id: 67d8c02c924be985c26ff72b
paper_authors.name: Param Hanji
paper_authors._id: 67d8c02c924be985c26ff72c
paper_authors.name: Shaojun Wang
paper_authors._id: 67d8c02c924be985c26ff72d
paper_authors.name: Xuan Zhao
paper_authors._id: 67d8c02c924be985c26ff72e
paper_authors.name: Cengiz Öztireli
paper_authors._id: 67d8c02c924be985c26ff72f
paper_authors.name: Fangcheng Zhong
paper_title: CHOrD: Generation of Collision-Free, House-Scale, and Organized Digital
    Twins for 3D Indoor Scenes with Controllable Floor Plans and Optimal Layouts
paper_summary: We introduce CHOrD, a novel framework for scalable synthesis of 3D indoor
  scenes, designed to create house-scale, collision-free, and hierarchically
  structured indoor digital twins. In contrast to existing methods that directly
  synthesize the scene layout as a scene graph or object list, CHOrD incorporates
  a 2D image-based intermediate layout representation, enabling effective
  prevention of collision artifacts by successfully capturing them as
  out-of-distribution (OOD) scenarios during generation. Furthermore, unlike
  existing methods, CHOrD is capable of generating scene layouts that adhere to
  complex floor plans with multi-modal controls, enabling the creation of
  coherent, house-wide layouts robust to both geometric and semantic variations
  in room structures. Additionally, we propose a novel dataset with expanded
  coverage of household items and room configurations, as well as significantly
  improved data quality. CHOrD demonstrates state-of-the-art performance on both
  the 3D-FRONT and our proposed datasets, delivering photorealistic, spatially
  coherent indoor scene synthesis adaptable to arbitrary floor plan variations.
paper_ai_summary: CHOrD generates collision-free, 3D indoor digital twins using a 2D image-based intermediate layout to prevent OOD scenarios and handle complex floor plans with multi-modal controls.
paper_ai_keywords: 3D indoor scenes collision-free hierarchically structured scene graph object list intermediate layout representation out-of-distribution scenarios coherent layouts floor plans multi-modal controls dataset photorealistic spatially coherent