Browsing by Author "Choi, Jae-Woo"

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    Image-Driven Furniture Style for Interactive 3D Scene Modeling
    (The Eurographics Association and John Wiley & Sons Ltd., 2020) Weiss, Tomer; Yildiz, Ilkay; Agarwal, Nitin; Ataer-Cansizoglu, Esra; Choi, Jae-Woo; Eisemann, Elmar and Jacobson, Alec and Zhang, Fang-Lue
    Creating realistic styled spaces is a complex task, which involves design know-how for what furniture pieces go well together. Interior style follows abstract rules involving color, geometry and other visual elements. Following such rules, users manually select similar-style items from large repositories of 3D furniture models, a process which is both laborious and time-consuming. We propose a method for fast-tracking style-similarity tasks, by learning a furniture's style-compatibility from interior scene images. Such images contain more style information than images depicting single furniture. To understand style, we train a deep learning network on a classification task. Based on image embeddings extracted from our network, we measure stylistic compatibility of furniture. We demonstrate our method with several 3D model style-compatibility results, and with an interactive system for modeling style-consistent scenes.