REXplore: A Sketch Based Interactive Explorer for Real Estates Using Building Floor Plan Images

Divya Sharma, Nitin Gupta, C. Chattopadhyay, S. Mehta
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引用次数: 5

Abstract

The increasing trend of using online platforms for real estate rent/sale makes automatic retrieval of similar floor plans a key requirement to help architects and buyers alike. Although sketch based image retrieval has been explored in the multimedia community, the problem of hand-drawn floor plan retrieval has been less researched in the past. In this paper, we propose REXplore (Real Estate eXplore), a novel framework that uses sketch based query mode to retrieve corresponding similar floor plan images from a repository using Cyclic Generative Adversarial Networks (Cyclic GAN) for mapping between sketch and image domain. The key contributions of our proposed approach are : (1) a novel sketch based floor plan retrieval framework using an intuitive and convenient sketch query mode; (2) A conjunction of Cyclic GANs and Convolution Neural Networks (CNNs) for the task of hand-drawn floor plan image retrieval. Extensive experimentation and comparison with baseline results authenticates our claim.
reexplore:一个基于草图的交互式资源管理器,用于使用建筑平面图图像的房地产
使用在线平台进行房地产租赁/销售的趋势日益增加,这使得自动检索类似的平面图成为帮助建筑师和买家的关键需求。虽然基于草图的图像检索已经在多媒体领域进行了探索,但过去对手绘平面图的检索问题研究较少。在本文中,我们提出了REXplore (Real Estate eXplore),这是一个新的框架,它使用基于草图的查询模式,使用循环生成对抗网络(Cyclic Generative Adversarial Networks, Cyclic GAN)在草图和图像域之间进行映射,从存储库中检索相应的相似平面图图像。该方法的主要贡献有:(1)利用直观方便的草图查询模式,提出了一种基于草图的平面平面检索框架;(2)结合循环gan和卷积神经网络(cnn)实现手绘平面图图像检索。广泛的实验和与基线结果的比较证实了我们的说法。
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