Illustration Design Teaching Mode Based on Virtual Wall Painting Technology

Zhang, Lingling

doi:10.3991/ijet.v14i03.10108

Cited by 14 publications

(5 citation statements)

References 8 publications

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“…For example, teachers can make art knowledge more vivid through pictures and videos. In music education, for example, with the help of traditional electronic devices, students can learn knowledge more systematically and faster [ 18 ]. This type of education can increase learners' interest, teach more content in a certain amount of time, and improve teachers' work efficiency.…”

Section: Related Workmentioning

confidence: 99%

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[Retracted] The Effectiveness of Pictorial Aesthetics Based on Multiview Parallel Neural Networks in Art‐Oriented Teaching

Liang

Gao

2021

Computational Intelligence and Neuroscience

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How to effectively improve the effectiveness of art teaching has always been one of the hot topics concerned by all sectors of society. Especially, in art teaching, situational interaction helps improve the atmosphere of art class. However, there are few attempts to quantitatively evaluate the aesthetics of ink painting. Ink painting expresses images through ink tone and stroke changes, which is significantly different from photos and paintings in visual characteristics, semantic characteristics, and aesthetic standards. For this reason, this study proposes an adaptive computational aesthetic evaluation framework for ink painting based on situational interaction using deep learning techniques. The framework extracts global and local images as multiple input according to the aesthetic criteria of ink painting and designs a model named MVPD-CNN to extract deep aesthetic features; finally, an adaptive deep aesthetic evaluation model is constructed. The experimental results demonstrate that our model has higher aesthetic evaluation performance compared with baseline, and the extracted deep aesthetic features are significantly better than the traditional manual design features, and its adaptive evaluation results reach a Pearson height of 0.823 compared with the manual aesthetic. In addition, art classroom simulation and interference experiments show that our model is highly resistant to interference and more sensitive to the three painting elements of composition, ink color, and texture in specific compositions.

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Section: Related Workmentioning

confidence: 99%

“…Using the AHP method [ 7 , 18 , 22 ], the sequence of weights W corresponding to the above performance indicators was derived as

…”

Section: Application Performance Analysis Of Ai In Art Teachingmentioning

confidence: 99%

[Retracted] The Effectiveness of Pictorial Aesthetics Based on Multiview Parallel Neural Networks in Art‐Oriented Teaching

Liang

Gao

2021

Computational Intelligence and Neuroscience

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“…Yang et al analyzed the relationship between art design and AI, trying to find the balance between them [3]. By analyzing the influence of AI on art design, Zhang demonstrates that the combination of AI and art design can provide a more intelligent, stylized, and commercialized development path for future art design [4] with the promotion of the innovation of ideas and tools. Deng et al discussed how to innovatively apply Chinese traditional cultural elements in contemporary illustration design and its application significance.…”

Section: Introductionmentioning

confidence: 99%

Application Model Construction of Traditional Cultural Elements in Illustration Design under Artificial Intelligence Background

Shi

2022

Mobile Information Systems

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The sustainable development of modern illustration art needs to dig deep into traditional culture in content and, on the basis of spreading cultural forms and improving cultural influence, supplement its own creative forms. The influence of AI (artificial intelligence) on illustration design not only is manifested in the optimization of illustration design tools and the improvement of design efficiency, but also makes the illustration design methods more diverse and promotes new breakthroughs in the illustration design concept under the influence of new technologies. In this paper, combining the advantages of two activation functions, SoftSign and ReLU, a new activation function, SReLU, is constructed and applied to CNN (Convolutional Neural Network). The multimode property of color prediction is modeled by quantifying ab color channels in Lab color space, and the introduction of GAN (Generative Adversarial Network) structure can make the whole model show better generation effect and improve the generation ability of image style conversion network. Results. The experiment proves the effectiveness of the method with high-quality image visual effect.

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“…The spectral clustering method is used in [ 23 ] to classify courses based on their degree of correlation, align existing courses, build an intuitive curriculum association system, and apply association rule mining to courses. Reference [ 24 ] proposed an algorithm to combine multiple subclusters based on connectivity, with the goal of improving the quality and accuracy of clustering results by focusing on the local optimality of the K-means algorithm and the sensitivity to the initial cluster centroid. Reference [ 25 ] proposes an algorithm for determining the number of clusters in a data set based on object stability.…”

Section: Related Workmentioning

confidence: 99%

An Inquiry-Based Teaching Model for Nursing Professional Courses Based on Data Mining and Few-Shot Learning Technology

Fan

2022

Computational Intelligence and Neuroscience

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Teaching is defined as a relatively stable structural framework and activity process of teaching activities established under the guidance of specific teaching concepts and theories. It serves as a link between teaching theory and practice, as well as between the teaching system’s static and dynamic conditions. The ITM (Inquiry-Based Teaching Model) has received a lot of attention and has been used in a lot of classrooms. Data mining (DM) is a method for discovering knowledge in databases and a technology for mining information in large data sets. It is primarily used to discover unknown relationships and patterns in related data. This paper applies DM’s core technology, particularly the decision tree algorithm, to give hospital managers more comprehensive and in-depth data analysis capabilities, as well as strong technical support for hospitals in developing management plans. Furthermore, due to the scarcity of research data in the nursing profession, this paper introduces the few-shot learning technology to improve the model’s analysis ability.

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Illustration Design Teaching Mode Based on Virtual Wall Painting Technology

Cited by 14 publications

References 8 publications

[Retracted] The Effectiveness of Pictorial Aesthetics Based on Multiview Parallel Neural Networks in Art‐Oriented Teaching

[Retracted] The Effectiveness of Pictorial Aesthetics Based on Multiview Parallel Neural Networks in Art‐Oriented Teaching

Application Model Construction of Traditional Cultural Elements in Illustration Design under Artificial Intelligence Background

An Inquiry-Based Teaching Model for Nursing Professional Courses Based on Data Mining and Few-Shot Learning Technology

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