AI-Driven Design and Generative Architecture

Zillow Indoor Dataset: Annotated Floor Plans With 360o Panoramas and 3D Room Layouts

Steve Cruz, Will Hutchcroft, Yuguang Li, Naji Khosravan, Ivaylo Boyadzhiev, Sing Bing Kang

Published 2021-07-01

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Abstract

The Zillow Indoor Dataset (ZInD) provides extensive visual data that covers a real world distribution of unfurnished residential homes. It consists of primary 360ΒΊ panoramas with annotated room layouts, windows, doors and openings (W/D/O), merged rooms, secondary localized panoramas, and final 2D floor plans. The figure above illustrates the various representations (from left to right beyond capture): Room layout with W/D/O annotations, merged layouts, 3D textured mesh, and final 2D floor plan. Definitions: Primary panoramas are those selected by annotators as having the "best" views of entire rooms, and are used to generate room layouts. The rest of the panoramas are secondary panoramas, which are provided for denser spatial data; they are localized within room layouts using a semi-automatic approach. An opening is an artificial construct that divides a large room into multiple parts. Note that openings are later processed for removal.

Topics

3D ReconstructionDatasetFloor Plan Reconstruction and ParametrizationGenerative Design and Design Space Exploration

Cite this paper

@inproceedings{cruz2021zillow,
  title     = {Zillow Indoor Dataset: Annotated Floor Plans With 360ΒΊ Panoramas and 3D Room Layouts},
  author    = {Cruz, Steve and Hutchcroft, Will and Li, Yuguang and Khosravan, Naji and Boyadzhiev, Ivaylo and Kang, Sing Bing},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  month     = {June},
  year      = {2021},
  pages     = {2133--2143}
}