A simulation model based on DCGAN to generate 2D animation avatars

Keting Chen; Ce Gao; Yiran Cai

doi:10.1117/12.2642603

28 July 2022 A simulation model based on DCGAN to generate 2D animation avatars

Keting Chen, Ce Gao, Yiran Cai

Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 1230324 (2022) https://doi.org/10.1117/12.2642603
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China

Abstract

The rising of machine learning has enabled computers to do difficult tasks that once and only be don e by human beings. However, many applications haven’t taught the machine about the field of art. To make machine more artistic, this paper designed a model based on GAN that enables the computer to generate 2D Japanese animation avatar. In the paper, GAN is found to be an effective method: the generator and discriminator work together to generate normal but real pictures. The experimental result is that in the 300 generated animations, only 3 images are distorted or unreal, indicating that the success rate is 99% and the proposed model has achieved excellent performance. Furthermore, it can be found that most of the generated pictures are beautiful, meaning that the machine is able to draw not only real, but also beautiful pictures.

Citation Download Citation

Keting Chen, Ce Gao, and Yiran Cai "A simulation model based on DCGAN to generate 2D animation avatars", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 1230324 (28 July 2022); https://doi.org/10.1117/12.2642603

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Gallium nitride

Solid modeling

Facial recognition systems

Virtual reality

Convolution

Data modeling

Data processing

Show All Keywords

Keywords/Phrases

Search In:

Publication Years