CHOrD: Generation of Collision-Free, House-Scale, and Organized Digital
  Twins for 3D Indoor Scenes with Controllable Floor Plans and Optimal Layouts
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.
67d8c02c924be985c26ff727
Chong Su
67d8c02c924be985c26ff728
Yingbin Fu
67d8c02c924be985c26ff729
Zheyuan Hu
claimed_verified
2025-03-18T08:08:40.263Z
653053c6657ae56cdb5c490b
https://cdn-avatars.huggingface.co/v1/production/uploads/653053c6657ae56cdb5c490b/Zl0bZZ7-tD9AR6muE8esU.png
Peter Hu
user
Peter2023HuggingFace
67d8c02c924be985c26ff72a
Jing Yang
67d8c02c924be985c26ff72b
Param Hanji
67d8c02c924be985c26ff72c
Shaojun Wang
67d8c02c924be985c26ff72d
Xuan Zhao
67d8c02c924be985c26ff72e
Cengiz Öztireli
67d8c02c924be985c26ff72f
Fangcheng Zhong
CHOrD: Generation of Collision-Free, House-Scale, and Organized Digital
  Twins for 3D Indoor Scenes with Controllable Floor Plans and Optimal Layouts
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.
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.
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