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: Cho, Y.-I (Author), Jang, S.-G (Author), Lee, H.-J (Author), Man, Q. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Online Access:View Fulltext in Publisher