Construction of multi-style face models based on artistic image generation algorithms
In response to the issues of insufficient clarity and data processing capabilities in the current face model construction process, a method for constructing multi-style face models based on artistic image generation algorithms is proposed. The new method incorporates the image decomposition and norm...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2025-08-01
|
| Series: | Nonlinear Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/nleng-2025-0149 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849225129502965760 |
|---|---|
| author | Xu Zhaoyi |
| author_facet | Xu Zhaoyi |
| author_sort | Xu Zhaoyi |
| collection | DOAJ |
| description | In response to the issues of insufficient clarity and data processing capabilities in the current face model construction process, a method for constructing multi-style face models based on artistic image generation algorithms is proposed. The new method incorporates the image decomposition and normalization model to enhance the algorithm’s ability to process image data. Subsequently, receptive fields, core attention modules, multi-scale attention modules, and dynamic selection attention modules are introduced to enhance the algorithm’s handling of details and model clarity in the process of constructing face data. The research results indicated that the new algorithmic model could improve the data metrics of face models. The incorporation of distinct modules has the potential to enhance various algorithmic metrics. However, the multi-scale attention module emerged as a pivotal component, demonstrating superior stability compared to numerous alternative algorithms. When dealing with face images of different styles, the performance of the new algorithm was better compared to that of other algorithms. Therefore, the new algorithm can enhance the numerical values of face models to a certain extent, improve parameters such as facial texture clarity, and have important research significance in the direction of constructing multi-style face models. |
| format | Article |
| id | doaj-art-c7c2b745f77b42bf90440441e6faba70 |
| institution | Kabale University |
| issn | 2192-8029 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Nonlinear Engineering |
| spelling | doaj-art-c7c2b745f77b42bf90440441e6faba702025-08-25T06:11:01ZengDe GruyterNonlinear Engineering2192-80292025-08-0114143610.1515/nleng-2025-0149Construction of multi-style face models based on artistic image generation algorithmsXu Zhaoyi0Information Engineering Institute, Xinjiang Institute of Engineering, Urumqi, 830000, ChinaIn response to the issues of insufficient clarity and data processing capabilities in the current face model construction process, a method for constructing multi-style face models based on artistic image generation algorithms is proposed. The new method incorporates the image decomposition and normalization model to enhance the algorithm’s ability to process image data. Subsequently, receptive fields, core attention modules, multi-scale attention modules, and dynamic selection attention modules are introduced to enhance the algorithm’s handling of details and model clarity in the process of constructing face data. The research results indicated that the new algorithmic model could improve the data metrics of face models. The incorporation of distinct modules has the potential to enhance various algorithmic metrics. However, the multi-scale attention module emerged as a pivotal component, demonstrating superior stability compared to numerous alternative algorithms. When dealing with face images of different styles, the performance of the new algorithm was better compared to that of other algorithms. Therefore, the new algorithm can enhance the numerical values of face models to a certain extent, improve parameters such as facial texture clarity, and have important research significance in the direction of constructing multi-style face models.https://doi.org/10.1515/nleng-2025-0149face modelsclarityartistic image generation algorithmsreceptive fieldsmulti-scale attention modules |
| spellingShingle | Xu Zhaoyi Construction of multi-style face models based on artistic image generation algorithms Nonlinear Engineering face models clarity artistic image generation algorithms receptive fields multi-scale attention modules |
| title | Construction of multi-style face models based on artistic image generation algorithms |
| title_full | Construction of multi-style face models based on artistic image generation algorithms |
| title_fullStr | Construction of multi-style face models based on artistic image generation algorithms |
| title_full_unstemmed | Construction of multi-style face models based on artistic image generation algorithms |
| title_short | Construction of multi-style face models based on artistic image generation algorithms |
| title_sort | construction of multi style face models based on artistic image generation algorithms |
| topic | face models clarity artistic image generation algorithms receptive fields multi-scale attention modules |
| url | https://doi.org/10.1515/nleng-2025-0149 |
| work_keys_str_mv | AT xuzhaoyi constructionofmultistylefacemodelsbasedonartisticimagegenerationalgorithms |