Transformer-Based GAN for New Hairstyle Generative Networks

Traditional GAN-based image generation networks cannot accurately and naturally fuse surrounding features in local image generation tasks, especially in hairstyle generation tasks. To this end, we propose a novel transformer-based GAN for new hairstyle generation networks. The network framework comp...

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Bibliographic Details
Main Authors: Qiaoyue Man, Young-Im Cho, Seong-Geun Jang, Hae-Jeung Lee
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/11/13/2106