The study of optimizing the ACGAN structure for improving the quality of the composite image

Keyan Liu

doi:10.1117/12.2655989

12 January 2023 The study of optimizing the ACGAN structure for improving the quality of the composite image

Keyan Liu

Proceedings Volume 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022); 125091O (2023) https://doi.org/10.1117/12.2655989
Event: Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 2022, Guangzhou, China

Abstract

Due to the different parameters in the algorithm varying degrees of accuracy and complexity are affected, besides, as the number of categories in the data set increases, gradient explosions in classifiers cause unwanted crashes in early training. Therefore, synthesizing high-resolution photo-realistic images has been a long-standing challenge in machine learning. In this paper, a new idea is provided that the aim of providing more accurate image synthesis, and giving more powerful feedback (i.e. accuracy) Briefly, this study by adding a new generator layer and modifying the number of channels and the activation function to improving the performance of composite images. At the same time, by using the control variable method (i.e. channel number and activation function) to analyse respectively. Tring the situation when the number of channels attempted is 64.32.16 and the activation function is ReLU and LeakyReLU respectively, to accumulate different numbers. Finally, visualize different situations, and show them in the paper. Experimental results indicate that by adding a new generation layer and changing the parameters separately, the accuracy of the generated images is better than before. The result will be the best when the number of channels is 16, and the activation function is LeakyReLU.

Citation Download Citation

Keyan Liu "The study of optimizing the ACGAN structure for improving the quality of the composite image", Proc. SPIE 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 125091O (12 January 2023); https://doi.org/10.1117/12.2655989

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