loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Kazuki Yanagida ; Keiji Gyohten ; Hidehiro Ohki and Toshiya Takami

Affiliation: Faculty of Science and Technology, Oita University, Dannoharu 700, Oita 870-1192, Japan

Keyword(s): Neural Network, Image Synthesis, Line Drawing Generation, Automatic Coloring, Pix2pix.

Abstract: A technology known as pix2pix has made it possible to automatically color line drawings. However, its accuracy is based on the quality of the characteristic lines, which emphasize the characteristics of the subject drawn in the line drawing. In this study, we propose a method for automatically generating characteristic lines in line drawings. The proposed method uses pix2pix to learn the relationship between the contour line drawing and line drawing with characteristic lines. The obtained model can automatically generate a line drawing with the characteristic lines from the contour line drawing. In addition, the quality of the characteristic lines could be adjusted by adding various degrees of blurring to the training images. In our experiments, we qualitatively evaluated the line drawings of shoes generated using the proposed method. We also applied an existing automatic coloring method using pix2pix to line drawings generated using the proposed method and confirmed that the desired colored line drawing could be obtained. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.145.119.199

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Yanagida, K.; Gyohten, K.; Ohki, H. and Takami, T. (2022). Automatic Characteristic Line Drawing Generation using Pix2pix. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-549-4; ISSN 2184-4313, SciTePress, pages 155-162. DOI: 10.5220/0010776700003122

@conference{icpram22,
author={Kazuki Yanagida. and Keiji Gyohten. and Hidehiro Ohki. and Toshiya Takami.},
title={Automatic Characteristic Line Drawing Generation using Pix2pix},
booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2022},
pages={155-162},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010776700003122},
isbn={978-989-758-549-4},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Automatic Characteristic Line Drawing Generation using Pix2pix
SN - 978-989-758-549-4
IS - 2184-4313
AU - Yanagida, K.
AU - Gyohten, K.
AU - Ohki, H.
AU - Takami, T.
PY - 2022
SP - 155
EP - 162
DO - 10.5220/0010776700003122
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic