Controllable Facial Image Generation Using ADGAN++ and Sequential Attribute Decomposition
DOI:
https://doi.org/10.48047/szwd2v84Keywords:
Generative Adversarial Networks (GANs), Controllable Image Synthesis, Attribute Decomposition, ADGAN++, Latent Space Manipulation, Facial Image Generation, Pose Transfer, Multi-Style Generation, Structural Similarity Index (SSIM), Deep Learning.Abstract
The field of generative image modeling has witnessed remarkable growth through the advancement of Generative Adversarial Networks (GANs), particularly in the domain of facial image synthesis. However, despite the highquality outputs of existing models, many struggle to offer finegrained, user-controllable manipulation over facial attributes
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Published
20.03.2025
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How to Cite
Controllable Facial Image Generation Using ADGAN++ and Sequential Attribute Decomposition . (2025). International Journal of Information and Electronics Engineering, 15(3), 69-75. https://doi.org/10.48047/szwd2v84