Learning to Trace: Expressive Line Drawing Generation from Photographs

dc.contributor.authorInoue, Naotoen_US
dc.contributor.authorIto, Daichien_US
dc.contributor.authorXu, Ningen_US
dc.contributor.authorYang, Jimeien_US
dc.contributor.authorPrice, Brianen_US
dc.contributor.authorYamasaki, Toshihikoen_US
dc.contributor.editorLee, Jehee and Theobalt, Christian and Wetzstein, Gordonen_US
dc.date.accessioned2019-10-14T05:06:38Z
dc.date.available2019-10-14T05:06:38Z
dc.date.issued2019
dc.description.abstractIn 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.en_US
dc.description.number7
dc.description.sectionheadersLines and Sketches
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume38
dc.identifier.doi10.1111/cgf.13817
dc.identifier.issn1467-8659
dc.identifier.pages69-80
dc.identifier.urihttps://doi.org/10.1111/cgf.13817
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13817
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectImage manipulation
dc.subjectApplied computing
dc.subjectFine arts
dc.titleLearning to Trace: Expressive Line Drawing Generation from Photographsen_US
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