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Image2Scene: Transforming Style of 3D Room

Published:13 October 2015Publication History

ABSTRACT

We propose a style transformation system to transform a 3D room into one that resembles the style of a photograph. We focus on two major components of interior scene style: layout and color. Using an interior image database, we learn the related style guidelines. Given a reference image and a 3D room of two different interior rooms, we first establish semantic correspondence between the two scenes. The styles of the reference image are then extracted in the form of layout constraints and color schemes. Finally, our framework performs layout rearrangement followed by recoloring of the scene to match the learned style of the reference image. We show style transformation results on numerous examples to demonstrate the effectiveness and efficiency of our system.

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  1. Image2Scene: Transforming Style of 3D Room

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      • Published in

        cover image ACM Conferences
        MM '15: Proceedings of the 23rd ACM international conference on Multimedia
        October 2015
        1402 pages
        ISBN:9781450334594
        DOI:10.1145/2733373

        Copyright © 2015 ACM

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        Publication History

        • Published: 13 October 2015

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        MM '15 Paper Acceptance Rate56of252submissions,22%Overall Acceptance Rate995of4,171submissions,24%

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