Using Generative Adversarial Networks for the synthesis of emotional facial expressions in virtual educational environments
The generation of emotional facial expressions using Generative Adversarial Networks (GANs) has been widely researched, achieving significant advances in creating high-quality images. However, one of the main challenges remains the accurate transmission of complex and negative emotions, such as ange...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Intelligent Systems with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667305325000055 |
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