Exploration of Art Digital Design Technology Guided by Visual Communication Elements

From the perspective of visual communication elements, this paper proposes a digital design composite model based on style migration, trying to explore and innovate art digital design technology. In the image recognition and style migration model, the attention mechanism is added on the basis of ResNet50 network model to enhance the image recognition effect, and on the basis of VGG19 deep convolutional network model and optimization algorithm to realize the image style migration technology and digital redesign. On the basis of the proposed style migration model, a graphic rendering model is further proposed by combining the GrabCut algorithm and the VGG16 neural network, so as to realize the local style migration of patterns. In the application analysis of the artistic digitization of Zhuang brocade lamps, for example, the total percentage of “very approved” and “more approved” in the assessment of the style migration effect is more than 30%, and the style migration effect is better. The average scores of the art design effect evaluation of layers, elements and color richness are 4.02, 4.15 and 4.31, which are all higher than 4 points, and the performance is good. It is also recognized by experts and ordinary respondents in the satisfaction evaluation of art design.

Authors

Institutions

Publication Details

Journal
Archive des Sciences
Published
2024-08-30
DOI
https://doi.org/10.62227/as/74509
Citations
1
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
0.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploration of Art Digital Design Technology Guided by Visual Communication Elements

Qiyuan Lu
1 citations
Archive des Sciences
Digital Media and Visual Art
0.63
article

Exploration of Art Digital Design Technology Guided by Visual Communication Elements

Qiyuan Lu
article en
1 citations

Abstract

From the perspective of visual communication elements, this paper proposes a digital design composite model based on style migration, trying to explore and innovate art digital design technology. In the image recognition and style migration model, the attention mechanism is added on the basis of ResNet50 network model to enhance the image recognition effect, and on the basis of VGG19 deep convolutional network model and optimization algorithm to realize the image style migration technology and digital redesign. On the basis of the proposed style migration model, a graphic rendering model is further proposed by combining the GrabCut algorithm and the VGG16 neural network, so as to realize the local style migration of patterns. In the application analysis of the artistic digitization of Zhuang brocade lamps, for example, the total percentage of “very approved” and “more approved” in the assessment of the style migration effect is more than 30%, and the style migration effect is better. The average scores of the art design effect evaluation of layers, elements and color richness are 4.02, 4.15 and 4.31, which are all higher than 4 points, and the performance is good. It is also recognized by experts and ordinary respondents in the satisfaction evaluation of art design.

Archive des SciencesVol. 74(5)
Lanzhou City University (CN), City University of Macau (MO)
Reduced inequalities
Openalex Percentile: Top 22%
Digital Media and Visual Art
0.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.