The Interaction of Big Data and AI Intelligent Technology in Visual Design Systems

With the rapid development of big data and artificial intelligence (AI) technologies, their wide application in various fields has become possible. Traditional visual design systems are usually based on static rules and human experience, which are difficult to meet the personalized needs of users, r...

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Bibliographic Details
Published in2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT) pp. 1 - 5
Main Author Zhu, Yuanji
Format Conference Proceeding
LanguageEnglish
Published IEEE 15.03.2024
Subjects
AI intelligence
Big Data
big data processing
Computational modeling
GAN algorithm
Generative adversarial networks
Image synthesis
Machine learning algorithms
Training data
VAE algorithm
visual design
Visualization
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Summary:With the rapid development of big data and artificial intelligence (AI) technologies, their wide application in various fields has become possible. Traditional visual design systems are usually based on static rules and human experience, which are difficult to meet the personalized needs of users, resulting in low universality of design works. This article solves the problems existing in traditional research through in-depth research on the interaction of big data and AI in visual design systems, and promotes the development of more intelligent, personalized and scientific development in the field of visual design. This article takes the Generative Adversarial Network (GAN) algorithm model as the research object, and performs algorithm fusion on its generative fusion model A-VAE (Attention-Variational Autoencoder) based on variational autoencoders and attention mechanisms, and proposes a new fusion model algorithm. Through research, it has been found that the merged algorithm exhibits better image generation performance, accuracy, clarity, and diversity in visual design compared to other algorithms.
DOI:10.1109/ICDCOT61034.2024.10516055