Controllable Facial Image Generation Using ADGAN++ and Sequential Attribute Decomposition

Authors

  • KODAPALA SWAPNA PRIYA, RAMINENIRAJA, NELLURI SRINU, MADDIGUNTLA TEJA SAI MANIKANTA, MUDAVATH SIVA BRAHMAM NAIK, Dr. K VENKATARAMARAO Author

DOI:

https://doi.org/10.48047/szwd2v84

Keywords:

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

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