(Retracted) Computer-aided three-dimensional animation design and enhancement based on spatial variation and convolution algorithm

Zhang, Xiaoyu

doi:10.1117/1.jei.32.1.011215

“…Among them, computer-aided design technology based on spatial variation and convolution algorithms has shown great potential in 3D animation design and enhancement. Zhang [17] discussed the application and advantages of this technology in the field of 3D animation. The spatial mutation algorithm is a technique that generates three-dimensional animations by simulating the spatial deformation process of objects in nature.…”

Section: Literature Reviewmentioning

confidence: 99%

Data Mining-based Optimized Pattern Design and Color Scheme in Planar CAD

Chen,

Zang

2024

CAD&A

0

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This article aims to explore new methods of animation scene generation and DM (Data mining) through DL (Deep Learning) technology and provide innovative technical means and valuable data support for animation production. In order to achieve this goal, this article adopts the advanced DL model to generate animation scenes and successfully generates a large number of realistic and diverse animation scenes by training and optimizing Gan (Generative adversarial network). Moreover, this article uses DM methods such as cluster analysis and classification recognition to mine and analyze the generated animation scene data deeply. The results prove the effectiveness and feasibility of DL in animation scene generation and DM. Automatically generating animation scenes through DL and CAD (computer-aided design) data can greatly reduce the workload of manual design and production and improve the efficiency of animation production. Moreover, through DM technology, we can deeply understand the audience's preferences and market trends and provide more accurate market positioning and content innovation direction for animation production. The research results show that the animation scene generation and DM method based on DL have obvious advantages and potential.

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“…Among them, computer-aided design technology based on spatial variation and convolution algorithms has shown great potential in 3D animation design and enhancement. Zhang [17] discussed the application and advantages of this technology in the field of 3D animation. The spatial mutation algorithm is a technique that generates three-dimensional animations by simulating the spatial deformation process of objects in nature.…”

Section: Literature Reviewmentioning

confidence: 99%

Computer Vision Driven Film and TV Scene Modeling and Innovation

He,

Zheng

2024

CAD&A

0

View full text Add to dashboard Cite

This article aims to explore new methods of animation scene generation and DM (Data mining) through DL (Deep Learning) technology and provide innovative technical means and valuable data support for animation production. In order to achieve this goal, this article adopts the advanced DL model to generate animation scenes and successfully generates a large number of realistic and diverse animation scenes by training and optimizing Gan (Generative adversarial network). Moreover, this article uses DM methods such as cluster analysis and classification recognition to mine and analyze the generated animation scene data deeply. The results prove the effectiveness and feasibility of DL in animation scene generation and DM. Automatically generating animation scenes through DL and CAD (computer-aided design) data can greatly reduce the workload of manual design and production and improve the efficiency of animation production. Moreover, through DM technology, we can deeply understand the audience's preferences and market trends and provide more accurate market positioning and content innovation direction for animation production. The research results show that the animation scene generation and DM method based on DL have obvious advantages and potential.

show abstract

“…Among them, computer-aided design technology based on spatial variation and convolution algorithms has shown great potential in 3D animation design and enhancement. Zhang [17] discussed the application and advantages of this technology in the field of 3D animation. The spatial mutation algorithm is a technique that generates three-dimensional animations by simulating the spatial deformation process of objects in nature.…”

Section: Literature Reviewmentioning

confidence: 99%

Implementation of Animation Character Action Design and Data Mining Technology Based on CAD Data

Zhang,

Wang

2024

CAD&A

1

0

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This article aims to explore new methods of animation scene generation and DM (Data mining) through DL (Deep Learning) technology and provide innovative technical means and valuable data support for animation production. In order to achieve this goal, this article adopts the advanced DL model to generate animation scenes and successfully generates a large number of realistic and diverse animation scenes by training and optimizing Gan (Generative adversarial network). Moreover, this article uses DM methods such as cluster analysis and classification recognition to mine and analyze the generated animation scene data deeply. The results prove the effectiveness and feasibility of DL in animation scene generation and DM. Automatically generating animation scenes through DL and CAD (computer-aided design) data can greatly reduce the workload of manual design and production and improve the efficiency of animation production. Moreover, through DM technology, we can deeply understand the audience's preferences and market trends and provide more accurate market positioning and content innovation direction for animation production. The research results show that the animation scene generation and DM method based on DL have obvious advantages and potential.

show abstract

(Retracted) Computer-aided three-dimensional animation design and enhancement based on spatial variation and convolution algorithm

Cited by 10 publications

References 23 publications

Data Mining-based Optimized Pattern Design and Color Scheme in Planar CAD

Data Mining-based Optimized Pattern Design and Color Scheme in Planar CAD

Computer Vision Driven Film and TV Scene Modeling and Innovation

Implementation of Animation Character Action Design and Data Mining Technology Based on CAD Data

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