GANs and Artificial Facial Expressions in Synthetic Portraits

GANs and Artificial Facial Expressions in Synthetic Portraits

Generative adversarial networks (GANs) provide powerful architectures for deep generative learning. GANs have enabled us to achieve an unprecedented degree of realism in the creation of synthetic images of human faces, landscapes, and buildings, among others. Not only image generation, but also imag...

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Bibliographic Details
Main Authors: Pilar Rosado, Rubén Fernández, Ferran Reverter
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Big Data and Cognitive Computing
Subjects:
generative adversarial networks
latent space
synthetic photographic portraits
generative art
facial expression
Online Access:https://www.mdpi.com/2504-2289/5/4/63

Internet

https://www.mdpi.com/2504-2289/5/4/63

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