Exploration of Metrics and Datasets to Assess the Fidelity of Images Generated by Generative Adversarial Networks

Exploration of Metrics and Datasets to Assess the Fidelity of Images Generated by Generative Adversarial Networks

Advancements in technology have improved human well-being but also enabled new avenues for criminal activities, including digital exploits like deep fakes, online fraud, and cyberbullying. Detecting and preventing such activities, especially for law enforcement agencies needing photo profiles for co...

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Bibliographic Details
Main Authors: Claudio Navar Valdebenito Maturana, Ana Lucila Sandoval Orozco, Luis Javier García Villalba
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Applied Sciences
Subjects:
generative adversarial networks
image evaluation
image quality
metrics
synthetic images
Online Access:https://www.mdpi.com/2076-3417/13/19/10637

Internet

https://www.mdpi.com/2076-3417/13/19/10637

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