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September 5, 2025Scientific VisualizationOpen Access

Development of a Methodology for the Application of Generative Neural Networks in Creating 3d Models

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Authors

NBN.A. BondarevaKeldysh Institute of Applied Mathematics АБА. Е. БондаревKeldysh Institute of Applied Mathematics САС. В. АндреевUral Federal University

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Implication

Proposed methodology improves 3D modeling efficiency using generative neural networks and AI, suggesting significant advantages over traditional methods.

Key Points

The proposed methodology significantly reduces time spent on creating 3D models, indicating its effectiveness.
Results show a marked improvement in the design process, with fewer errors and enhanced adjustments at design stages.
This innovative approach integrates AI with existing CAD algorithms to optimize 3D model creation.
The fusion of natural language processing with engineering software offers a new paradigm in automated modeling.

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Bondareva et al. (2025) studied this question.

synapsesocial.com/papers/68bb3efd2b87ece8dc957c4d https://doi.org/10.26583/sv.17.3.03

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Implication

Proposed methodology improves 3D modeling efficiency using generative neural networks and AI, suggesting significant advantages over traditional methods.

Development of a Methodology for the Application of Generative Neural Networks in Creating 3d Models

Discussion

Member takes

Implication

Key Points

Cite This Study

Development of a Methodology for the Application of Generative Neural Networks in Creating 3d Models

Discussion

Member takes

Implication

Key Points

Cite This Study

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