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Generating Adversarial Network Image Design Study

Posted on:2023-01-11Degree:MasterType:Thesis
Country:ChinaCandidate:Y F CaiFull Text:PDF
GTID:2555307151978879Subject:Design
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The integration of technology and art is an important field that has been continuously researched and explored since the beginning of human society,and while technology and humanities continue to drive social development,they also merge and connect in the social environment.Focusing on the dynamic relationship between technology and art in a specific context and humanistic environment is the way to promote the theoretical and practical development of technology and art in their own fields.This paper takes generative adversarial network image design as the research object,takes the classical works on generative adversarial network and image art design expertise at home and abroad as the theoretical basis,and takes the development trend of generative adversarial network technology and image design as the theoretical basis,with the aim of summarizing and analyzing the application and characteristics of generative adversarial network in the visual field from the perspective of image design.Specific research methods such as literature research method,case study method,classification research method and interdisciplinary research method are used to conduct a detailed study on the background,origin,definition,classification,characteristics and aesthetics of the generative adversarial network art and design trend.By collecting a large number of books and materials about generative adversarial network technology and the frontier research field of image design,firstly,we make a brief introduction to generative adversarial network technology that fits with image art design,and then clarify the influence of generative image art on generative adversarial network image design based on the penetration of generative adversarial network technology in the field of image design,and generally determine the The research framework is defined in general.The research framework of generative adversarial network image design is generally defined.Then,the research aspects of design content,design essence and design elements are discussed in detail.After that,we take the aesthetic concept of the new era as the entry point to explore the development history of the generative adversarial network on art design,and the breakthrough and influence of art designers.The second half of the article focuses on the wide application of generative adversarial networks in the field of image design,summarizes its artistic design characteristics and value features,and analyzes various image processing applications,so as to explain and respond to the continuous reconstruction of computer graphics and art ecology by generative adversarial networks.At the end of the article,the author combines the future development trend of neural network technology and generative design,and makes a prediction on the development of neural network image art design in terms of content concept,form and medium of art design,and comes to a prediction on the breakthrough and innovation of design content and methods,and the identity transformation of designers under the threshold of neural network in the post-computer era.
Keywords/Search Tags:Generative adversarial network(GAN), GAN Art, generative design, artificial intelligence, application
PDF Full Text Request
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