FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916324622467072 |
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| author | Xu, Honghao Xu, Juzhan Huang, Zeyu Xu, Pengfei Huang, Hui Hu, Ruizhen |
| author_facet | Xu, Honghao Xu, Juzhan Huang, Zeyu Xu, Pengfei Huang, Hui Hu, Ruizhen |
| contents | In this paper, we introduce a novel method called FRI-Net for 2D floorplan reconstruction from 3D point cloud. Existing methods typically rely on corner regression or box regression, which lack consideration for the global shapes of rooms. To address these issues, we propose a novel approach using a room-wise implicit representation with structural regularization to characterize the shapes of rooms in floorplans. By incorporating geometric priors of room layouts in floorplans into our training strategy, the generated room polygons are more geometrically regular. We have conducted experiments on two challenging datasets, Structured3D and SceneCAD. Our method demonstrates improved performance compared to state-of-the-art methods, validating the effectiveness of our proposed representation for floorplan reconstruction. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_10687 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation Xu, Honghao Xu, Juzhan Huang, Zeyu Xu, Pengfei Huang, Hui Hu, Ruizhen Computer Vision and Pattern Recognition Graphics In this paper, we introduce a novel method called FRI-Net for 2D floorplan reconstruction from 3D point cloud. Existing methods typically rely on corner regression or box regression, which lack consideration for the global shapes of rooms. To address these issues, we propose a novel approach using a room-wise implicit representation with structural regularization to characterize the shapes of rooms in floorplans. By incorporating geometric priors of room layouts in floorplans into our training strategy, the generated room polygons are more geometrically regular. We have conducted experiments on two challenging datasets, Structured3D and SceneCAD. Our method demonstrates improved performance compared to state-of-the-art methods, validating the effectiveness of our proposed representation for floorplan reconstruction. |
| title | FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation |
| topic | Computer Vision and Pattern Recognition Graphics |
| url | https://arxiv.org/abs/2407.10687 |