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Text to Facial Skecth Generation Using Gans

Year: 2025

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15862599

Authors: Albin Sojan, Alekh J, Amegh C S, Cyriac P S, Rashma T V

Language: English

Topic: Generative Adversarial Networks and Image Synthesis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6949715719

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