ITE Technical Group Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2021-12-13 15:20
Automatic Generation of Viewpoint Change Video Using Consistent Regularized Generative Adversarial Networks
Kento Otsu (Ritsumeikan Univ.), Masataka Seo (Osaka Institute of Technology Osaka), Yen-Wei Chen (Ritsumeikan Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Gaze plays an important role in conversation. However, in a video call system using a personal computer or the like, it is difficult to have a conversation with the eyes aligned because the positions of the camera and the display are different. In this research, we aim to solve this problem by generating viewpoint-changed video using an image generation model using deep learning. In the proposed method, we apply Improved Consistency regularization, which constrains the input data to maintain semantic consistency before and after data expansion, and generates clear video even with fine textures.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep learning / Generative adversarial networks / Improved Consistency regularization / Video / Image transformation / Face / /  
Reference Info. ITE Tech. Rep., vol. 45, no. 39, ME2021-96, pp. 33-35, Dec. 2021.
Paper # ME2021-96 
Date of Issue 2021-12-06 (ME) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
Download PDF

Conference Information
Committee ME  
Conference Date 2021-12-13 - 2021-12-13 
Place (in Japanese) (See Japanese page) 
Place (in English) online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2021-12-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic Generation of Viewpoint Change Video Using Consistent Regularized Generative Adversarial Networks 
Sub Title (in English)  
Keyword(1) Deep learning  
Keyword(2) Generative adversarial networks  
Keyword(3) Improved Consistency regularization  
Keyword(4) Video  
Keyword(5) Image transformation  
Keyword(6) Face  
1st Author's Name Kento Otsu  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Masataka Seo  
2nd Author's Affiliation Osaka Institute of Technology Osaka (Osaka Institute of Technology Osaka)
3rd Author's Name Yen-Wei Chen  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2021-12-13 15:20:00 
Presentation Time 30 minutes 
Registration for ME 
Paper # ME2021-96 
Volume (vol) vol.45 
Number (no) no.39 
Page pp.33-35 
Date of Issue 2021-12-06 (ME) 

[Return to Top Page]

[Return to ITE Web Page]

The Institute of Image Information and Television Engineers (ITE), Japan