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学者姓名：孙坚
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Abstract ：
The study of style identification in 3D animation not only enhances the artistry of animation scenes but also has a profound significance on the development of 3D animation works. In this paper, we first sorted out the art style expressions of 3D animation and explored the innovation path of 3D animation art style and related influencing factors. Based on the generative adversarial network in AIGC technology, the discriminator and generator are trained. The 3D animation style intelligent recognition and classification model is established by combining the GAN network and SoftMax classifier, and the loss function of the model is optimized. Using crawler technology to obtain 3D animation-related images and crop them to 128∗128 size for dataset construction, 3D animation style recognition and classification experiments were designed to verify the application effectiveness of the 3D-GAN model. It is found that the 3D-GAN model reaches the peak of IS index 9.222 after 60∗103 iterations, which is 12.85% higher than the ALGAN model. The average classification accuracy of the 3D-GAN model is 91.42%, which is 6.01 percentage points higher than that of the sub-optimal CycleGAN model. Conducting intelligent recognition and classification of 3D animation styles based on AIGC technology can provide a new direction for innovating 3D animation styles and optimizing scene design. © 2024 Xinqu Jiang et al., published by Sciendo.
Keyword ：
Aluminum gallium nitride Aluminum gallium nitride Animation Animation Classification (of information) Classification (of information) Gallium alloys Gallium alloys Generative adversarial networks Generative adversarial networks Three dimensional computer graphics Three dimensional computer graphics
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| GB/T 7714 | Jiang, Xinqu , Sun, Jian . Intelligent Recognition and Classification of 3D Animation Styles - Based on AIGC Technology Application [J]. | Applied Mathematics and Nonlinear Sciences , 2024 , 9 (1) . |
| MLA | Jiang, Xinqu 等. "Intelligent Recognition and Classification of 3D Animation Styles - Based on AIGC Technology Application" . | Applied Mathematics and Nonlinear Sciences 9 . 1 (2024) . |
| APA | Jiang, Xinqu , Sun, Jian . Intelligent Recognition and Classification of 3D Animation Styles - Based on AIGC Technology Application . | Applied Mathematics and Nonlinear Sciences , 2024 , 9 (1) . |
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Abstract ：
With the rapid development of digital entertainment technology, people's demand for green landscape reconstruction and virtual reality (VR) interactive art design is increasing. This study aims to explore the use of digital entertainment technology and entertainment gesture robots, combined with green landscape 3D reconstruction and VR interactive art design, to provide a new art experience. This paper uses digital entertainment technology to reconstruct the green landscape in 3D, and combines the interactive function of entertainment gesture robot to enable users to interact with the virtual environment. Then VR technology is used to present the reconstructed landscape to the user, and through immersive experience, users can feel the immersive art design. Through experimental evaluation and user survey, 3D reconstruction of green landscape and VR interactive art design using digital entertainment technology and entertainment gesture robots can provide a new entertainment experience. Users are more satisfied with the immersive art design expression, and experience the interaction and connection with the natural environment, which provides users with a unique and immersive art experience, further enriching the form and content of digital entertainment.
Keyword ：
Digital entertainment technology Digital entertainment technology Gesture robots for entertainment Gesture robots for entertainment Green landscape Green landscape Interactive art Interactive art Three-dimensional reconstruction Three-dimensional reconstruction VR VR
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| GB/T 7714 | Weng, Jiankai , Sun, Jian . Green landscape 3D reconstruction and VR interactive art design experience using digital entertainment technology and entertainment gesture robots [J]. | ENTERTAINMENT COMPUTING , 2024 , 52 . |
| MLA | Weng, Jiankai 等. "Green landscape 3D reconstruction and VR interactive art design experience using digital entertainment technology and entertainment gesture robots" . | ENTERTAINMENT COMPUTING 52 (2024) . |
| APA | Weng, Jiankai , Sun, Jian . Green landscape 3D reconstruction and VR interactive art design experience using digital entertainment technology and entertainment gesture robots . | ENTERTAINMENT COMPUTING , 2024 , 52 . |
| Export to | NoteExpress RIS BibTex |
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