Unit Region Encoding: A Unified and Compact Geometry-aware Representation for Floorplan Applications

• URL: http://arxiv.org/abs/2501.11097v1
• Date: Sun, 19 Jan 2025 16:17:20 GMT
• Title: Unit Region Encoding: A Unified and Compact Geometry-aware Representation for Floorplan Applications
• Authors: Huichao Zhang, Pengyu Wang, Manyi Li, Zuojun Li, Yaguang Wu,
• Abstract summary: Unit Region. of floorplans is a unified and compact geometry-aware encoding representation for various applications. Our representation can be flexibly adapted to different applications with the sliced unit regions.
• Score: 6.019073491990928
• License:
• Abstract: We present the Unit Region Encoding of floorplans, which is a unified and compact geometry-aware encoding representation for various applications, ranging from interior space planning, floorplan metric learning to floorplan generation tasks. The floorplans are represented as the latent encodings on a set of boundary-adaptive unit region partition based on the clustering of the proposed geometry-aware density map. The latent encodings are extracted by a trained network (URE-Net) from the input dense density map and other available semantic maps. Compared to the over-segmented rasterized images and the room-level graph structures, our representation can be flexibly adapted to different applications with the sliced unit regions while achieving higher accuracy performance and better visual quality. We conduct a variety of experiments and compare to the state-of-the-art methods on the aforementioned applications to validate the superiority of our representation, as well as extensive ablation studies to demonstrate the effect of our slicing choices.

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