Structural Plan of Indoor Scenes with Personalized Preferences

Autor:	Hong Zhu, Changyu Sun, Lingqiang Ran, Qiuyan Sheng, Lei Cai, Xinhan Di, Pengqian Yu
Rok vydání:	2020
Předmět:	Theoretical computer science Computer science business.industry Property (programming) Graph (abstract data type) Plan (drawing) Graph generation business Interior design
Zdroj:	Computer Vision – ECCV 2020 Workshops ISBN: 9783030668228 ECCV Workshops (4)
DOI:	10.1007/978-3-030-66823-5_27
Popis:	In this paper, we propose an assistive model that supports professional interior designers to produce industrial interior decoration solutions and to meet the personalized preferences of the property owners. The proposed model is able to automatically produce the layout of objects of a particular indoor scene according to property owners’ preferences. In particular, the model consists of the extraction of abstract graph, conditional graph generation, and conditional scene instantiation. We provide an interior layout dataset that contains real-world 11000 designs from professional designers. Our numerical results on the dataset demonstrate the effectiveness of the proposed model compared with the state-of-art methods.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d4d896a2cec746761c6b981b155dca7e https://doi.org/10.1007/978-3-030-66823-5_27 Zobrazit plný text záznamu