Face Image Generation for Illustration by WGAN-GP Using Landmark Information

Miho Takahashi; Hiroshi Watanabe

doi:10.1109/GCCE53005.2021.9621960

Face Image Generation for Illustration by WGAN-GP Using Landmark Information

Miho Takahashi, Hiroshi Watanabe

School of Fundamental Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

With the spread of social networking services, face images for illustration are being used in a variety of situations. Attempts have been made to create illustration face images using adversarial generation networks, but the quality of the images has not been sufficient. It would be much easier to generate face images for illustrations if they could be generated by simply specifying the shape and expression of the face. Also, if images can be generated using landmark information, which is the location of the eyes, nose, and mouth of a face, it will be possible to capture and learn the features of the face. Therefore, in this paper, we propose a method to generate face images for illustration using landmark information. Our method can learn the location of landmarks and produce high quality images on creation of illustration face images.

Original language	English
Title of host publication	2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	936-937
Number of pages	2
ISBN (Electronic)	9781665436762
DOIs	https://doi.org/10.1109/GCCE53005.2021.9621960
Publication status	Published - 2021
Event	10th IEEE Global Conference on Consumer Electronics, GCCE 2021 - Kyoto, Japan Duration: 2021 Oct 12 → 2021 Oct 15

Publication series

Name	2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021

Conference

Conference	10th IEEE Global Conference on Consumer Electronics, GCCE 2021
Country/Territory	Japan
City	Kyoto
Period	21/10/12 → 21/10/15

ASJC Scopus subject areas

Computer Science Applications
Signal Processing
Biomedical Engineering
Electrical and Electronic Engineering
Media Technology
Instrumentation

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10.1109/GCCE53005.2021.9621960

Cite this

Takahashi, M., & Watanabe, H. (2021). Face Image Generation for Illustration by WGAN-GP Using Landmark Information. In 2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021 (pp. 936-937). (2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE53005.2021.9621960

Face Image Generation for Illustration by WGAN-GP Using Landmark Information. / Takahashi, Miho; Watanabe, Hiroshi.

2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 936-937 (2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Takahashi, M & Watanabe, H 2021, Face Image Generation for Illustration by WGAN-GP Using Landmark Information. in 2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021. 2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021, Institute of Electrical and Electronics Engineers Inc., pp. 936-937, 10th IEEE Global Conference on Consumer Electronics, GCCE 2021, Kyoto, Japan, 21/10/12. https://doi.org/10.1109/GCCE53005.2021.9621960

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abstract = "With the spread of social networking services, face images for illustration are being used in a variety of situations. Attempts have been made to create illustration face images using adversarial generation networks, but the quality of the images has not been sufficient. It would be much easier to generate face images for illustrations if they could be generated by simply specifying the shape and expression of the face. Also, if images can be generated using landmark information, which is the location of the eyes, nose, and mouth of a face, it will be possible to capture and learn the features of the face. Therefore, in this paper, we propose a method to generate face images for illustration using landmark information. Our method can learn the location of landmarks and produce high quality images on creation of illustration face images.",

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doi = "10.1109/GCCE53005.2021.9621960",

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AB - With the spread of social networking services, face images for illustration are being used in a variety of situations. Attempts have been made to create illustration face images using adversarial generation networks, but the quality of the images has not been sufficient. It would be much easier to generate face images for illustrations if they could be generated by simply specifying the shape and expression of the face. Also, if images can be generated using landmark information, which is the location of the eyes, nose, and mouth of a face, it will be possible to capture and learn the features of the face. Therefore, in this paper, we propose a method to generate face images for illustration using landmark information. Our method can learn the location of landmarks and produce high quality images on creation of illustration face images.

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Face Image Generation for Illustration by WGAN-GP Using Landmark Information

Abstract

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