Optimization of AI-Generated Animation Based on Computer-Aided Design in the Digital Media Environment
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| Publicado en: | Journal of Cases on Information Technology vol. 27, no. 1 (2025), p. 1-13 |
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| Autor principal: | |
| Publicado: |
IGI Global
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text - PDF |
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| 022 | |a 1098-8580 | ||
| 022 | |a 1537-937X | ||
| 024 | 7 | |a 10.4018/JCIT.382562 |2 doi | |
| 035 | |a 3225541221 | ||
| 045 | 2 | |b d20250101 |b d20250331 | |
| 084 | |a 54251 |2 nlm | ||
| 100 | 1 | |a Sun, Huiting |u Cheongju University, South Korea | |
| 245 | 1 | |a Optimization of AI-Generated Animation Based on Computer-Aided Design in the Digital Media Environment | |
| 260 | |b IGI Global |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This study explores the integrated application of Computer-Aided Design (CAD) and Artificial Intelligence (AI) in animation production. Aiming at the bottlenecks of AI-generated animation in emotional expression, geometric accuracy, and motion smoothness, a hybrid production paradigm of “CAD definition → AI generation → CAD refinement” is proposed. Through three strategies—parametric modeling, intelligent material mapping, and AI-driven motion interpolation—and a case study of the 3D animated film Fantastic Adventure, the method's effectiveness is verified in reducing mechanical artifacts, enhancing visual realism, and improving production efficiency. The research notes that while integration technologies face challenges such as system compatibility, data security, and artistic balance, the concept of “collaboration between technical precision and artistic creativity” provides a new paradigm for the animation industry's high-quality development. | |
| 653 | |a Artifacts | ||
| 653 | |a Production | ||
| 653 | |a Accuracy | ||
| 653 | |a Collaboration | ||
| 653 | |a Case studies | ||
| 653 | |a Computer aided design--CAD | ||
| 653 | |a Animation | ||
| 653 | |a Optimization | ||
| 653 | |a Self expression | ||
| 653 | |a Digital media | ||
| 653 | |a Mapping | ||
| 653 | |a Automation | ||
| 653 | |a Motion | ||
| 653 | |a Facial expressions | ||
| 653 | |a Geometric accuracy | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Machine learning | ||
| 653 | |a Smoothness | ||
| 653 | |a Motion pictures | ||
| 653 | |a Logic | ||
| 653 | |a Neural networks | ||
| 653 | |a Data collection | ||
| 653 | |a Algorithms | ||
| 653 | |a Information technology | ||
| 653 | |a Paradigms | ||
| 773 | 0 | |t Journal of Cases on Information Technology |g vol. 27, no. 1 (2025), p. 1-13 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3225541221/abstract/embedded/A8MAESINYUDG6GTR?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3225541221/fulltextPDF/embedded/A8MAESINYUDG6GTR?source=fedsrch |