Application of Style Transfer Algorithm in the Design of Animation Pattern Special Effect

Fan, Xinxin

doi:10.1088/1742-6596/1852/2/022054

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…With the use of some existing data, example-based modeling technologies may swiftly develop more complicated models. Texture synthesis is where these approaches are most commonly applied, as evidenced by literature [ 6 – 8 ]. Reference [ 9 ] suggested a method for generating urban landscapes using sample GIS data, which obtained good results and realized regional transition and white natural connections.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Animation Interaction Design Algorithm Based on Example and Parameterization

Wang

Han

Yang

2022

Computational Intelligence and Neuroscience

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Intelligent design for the animation interaction is very challenging and needs to be resolved on priority basis. If this design is based on smart learning based mechanism, then it will be more appropriate and effective. Therefore, based on the idea of process modeling, the concrete method is based on example modeling and parameterization, and the VC programming environment is the tool. Animated interactions are not counted. The animation parameterization in the sample animation software and its attribute information are calculated, and the principle and realization process of the new animation interaction design are given, as well as the calculation method and steps of each area of animation elements. The same interaction design pattern can be filled in different areas by using parametric methods. In practice, we have increased the diversity of animation interaction design. The method proposed in this paper can quickly and automatically generate a virtual animation design network according to the user's design ideas and can be controlled by the user in real time interactively, providing a good interface and a new way for the user to design animation environment modeling.

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Section: Introductionmentioning

confidence: 99%

An Intelligent Animation Interaction Design Algorithm Based on Example and Parameterization

Wang

Han

Yang

2022

Computational Intelligence and Neuroscience

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“…due to the presence of distortion in the camera lens [23]. The internal parameter matrix of the camera is defined as K for: is the coordinates of the camera's principal point.…”

Section: Camera Perspective Imaging Modelsmentioning

confidence: 99%

Analysis of the Teaching Path of Animation Film Majors Integrating Digital Visual Space in the Context of Digital Media Art

2023

Applied Mathematics and Nonlinear Sciences

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In this study, we first adopt the dynamic stereo vision spatial coordinate measurement method of non-zoom cameras, establish a coordinate measurement model based on differential GPS, and study the application of the spatial coordinates of dynamic stereo digital vision systems in animation design. Secondly, the internal and external parameters of the camera are defined as the static error of the dynamic stereo vision system so as to provide an easy and quick-to-use design tool for the teaching of animation film majors. Finally, a test sequence animation sample set is used to verify the teaching effect of digital visual space based on animation design. The results show that in the multi-comparison test of animation quality against pixel bit rate, the animation design samples were found to have frame rates in the range of 5-30 Fps. And under the condition of having extra bandwidth, the animation feature learning evaluation dimension is 2589, and increasing the animation visual frame rate can improve the output picture quality of animation more effectively. It shows that the integration of digital visual space in the context of digital media art can allow students to have enough project sources for learning and practicing so as to improve their professional ability.

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“…Long before digital technology was created, people already began to use simple, crude methods to create animation. Although the effect is far less than nowadays, the brilliant achievements of modern animation industry are inseparable from such exploration [ 11 ].…”

Section: Research Backgroundmentioning

confidence: 99%

Color Matching Generation Algorithm for Animation Characters Based on Convolutional Neural Network

Lyu

Lee

Liu

2022

Computational Intelligence and Neuroscience

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In recent years, for China, animation industry is a relatively new and mature emerging national sunrise industry after animation industry, which appears on the world stage more and more frequently and is widely concerned and valued by people from all over the world. Therefore, this paper innovatively uses the convolutional neural network algorithm to innovate the color matching generation of animation characters and improve the traditional technology of color matching for animation characters. In this paper, we mainly use Generative Adversarial Network (GAN), Deep Convolutional Generative Adversarial Network and VGG model, and multiscale discriminator theory and use ACGAN research method. And we study this paper’s innovative LMV-ACGAN research method, and we have come to the conclusion that other models have higher collapse rate than this model; this model has higher color matching of anime characters. Color matching improves with the increase of convolutional neural network utilization, etc. Moreover, superior and minor reviews of this study are provided to make later researchers understand this study more rationally and objectively.

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Application of Style Transfer Algorithm in the Design of Animation Pattern Special Effect

Cited by 6 publications

References 10 publications

An Intelligent Animation Interaction Design Algorithm Based on Example and Parameterization

An Intelligent Animation Interaction Design Algorithm Based on Example and Parameterization

Analysis of the Teaching Path of Animation Film Majors Integrating Digital Visual Space in the Context of Digital Media Art

Color Matching Generation Algorithm for Animation Characters Based on Convolutional Neural Network

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