Text to Facial Skecth Generation Using Gans

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-11
DOI
https://doi.org/10.5281/zenodo.15862599
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

Text to Facial Skecth Generation Using Gans

Zenodo (CERN European Organization for Nuclear Research)
Generative Adversarial Networks and Image Synthesis
article

Text to Facial Skecth Generation Using Gans

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 52%
Generative Adversarial Networks and Image Synthesis
DOIOpen Access PDFOpenAlex
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Text to Facial Skecth Generation Using Gans · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS