Image Generation with Global Photographic Aesthetic Based on Disentangled Generative Adversarial Network

Image Generation with Global Photographic Aesthetic Based on Disentangled Generative Adversarial Network

Global photographic aesthetic image generation aims to ensure that images generated by generative adversarial networks (GANs) contain semantic information and have global aesthetic feelings. Existing image aesthetic generation algorithms are still in the exploratory stage, and images screened or gen...

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Bibliographic Details
Main Authors:	Hua Zhang, Muwei Wang, Lingjun Zhang, Yifan Wu, Yizhang Luo
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Series:	Applied Sciences
Subjects:	GANs global photographic aesthetic disentangled representation image generation generative adversarial network
Online Access:	https://www.mdpi.com/2076-3417/13/23/12871

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