• Login
    View Item 
    •   Eurographics DL Home
    • Computer Graphics Forum
    • Volume 38 (2019)
    • 38-Issue 7
    • View Item
    •   Eurographics DL Home
    • Computer Graphics Forum
    • Volume 38 (2019)
    • 38-Issue 7
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Learning to Trace: Expressive Line Drawing Generation from Photographs

    Thumbnail
    View/Open
    v38i7pp069-080.pdf (46.07Mb)
    pg2019_paper1019_sup_final.pdf (38.93Mb)
    Date
    2019
    Author
    Inoue, Naoto
    Ito, Daichi
    Xu, Ning
    Yang, Jimei ORCID
    Price, Brian
    Yamasaki, Toshihiko
    Pay-Per-View via TIB Hannover:

    Try if this item/paper is available.

    Metadata
    Show full item record
    Abstract
    In this paper, we present a new computational method for automatically tracing high-resolution photographs to create expressive line drawings. We define expressive lines as those that convey important edges, shape contours, and large-scale texture lines that are necessary to accurately depict the overall structure of objects (similar to those found in technical drawings) while still being sparse and artistically pleasing. Given a photograph, our algorithm extracts expressive edges and creates a clean line drawing using a convolutional neural network (CNN). We employ an end-to-end trainable fully-convolutional CNN to learn the model in a data-driven manner. The model consists of two networks to cope with two sub-tasks; extracting coarse lines and refining them to be more clean and expressive. To build a model that is optimal for each domain, we construct two new datasets for face/body and manga background. The experimental results qualitatively and quantitatively demonstrate the effectiveness of our model. We further illustrate two practical applications.
    BibTeX
    @article {10.1111:cgf.13817,
    journal = {Computer Graphics Forum},
    title = {{Learning to Trace: Expressive Line Drawing Generation from Photographs}},
    author = {Inoue, Naoto and Ito, Daichi and Xu, Ning and Yang, Jimei and Price, Brian and Yamasaki, Toshihiko},
    year = {2019},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13817}
    }
    URI
    https://doi.org/10.1111/cgf.13817
    https://diglib.eg.org:443/handle/10.1111/cgf13817
    Collections
    • 38-Issue 7

    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA
     

     

    Browse

    All of Eurographics DLCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    BibTeX | TOC

    Create BibTeX Create Table of Contents

    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA