JOURNAL ARTICLE
Text to Facial Skecth Generation Using Gans
Albin SojanAlekh JAmegh C SCyriac P SRashma T V
Year: 2025 Journal: Zenodo (CERN European Organization for Nuclear Research) Publisher: European Organization for Nuclear Research
Abstract
This review explores advancements in text-to-facial image generation, focusing on methods like GANs and transformers. Key challenges include semantic alignment and detail synthesis. Applications span virtual avatars and law enforcement, with discussions on ethical concerns and future directions.
Keywords:
Key (lock) Image manipulation Image (mathematics) Face (sociological concept)
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Topics
Generative Adversarial Networks and Image Synthesis
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Face recognition and analysis
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Multimodal Machine Learning Applications
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
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