2022
DOI: 10.1155/2022/3499570
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Icon Art Design with Generative Adversarial Network under Deep Learning

Abstract: With the rapid development of the Internet, application interface design has undergone rapid changes. Numerous new design styles and resources have appeared; thus, a large number of interface icon design needs have been generated. Icons are quite different from ordinary photographed images, because they are all drawn by designers and have certain schematic and artistic features. Moreover, artistic icons can convey their drawn characteristics and meanings faster and better than captured images. The ideation pro… Show more

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Cited by 4 publications
(2 citation statements)
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“…DE-GAN enables the creation of artwork that exhibits depth and complexity, challenging the perception of whether it was generated by a machine or an artist. In a different vein, Meng et al [7] presented GAN techniques specifically tailored for the intricate and time-consuming task of icon design. Their work demonstrates the versatility of GANs in tackling diverse design challenges.…”
Section: Introductionmentioning
confidence: 99%
“…DE-GAN enables the creation of artwork that exhibits depth and complexity, challenging the perception of whether it was generated by a machine or an artist. In a different vein, Meng et al [7] presented GAN techniques specifically tailored for the intricate and time-consuming task of icon design. Their work demonstrates the versatility of GANs in tackling diverse design challenges.…”
Section: Introductionmentioning
confidence: 99%
“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”
mentioning
confidence: 99%