Image Creation Based on Transformer and Generative Adversarial Networks

Image Creation Based on Transformer and Generative Adversarial Networks

To address the problem of low authenticity of generated images in existing generative models, the transformer super-resolution generative adversarial network(TransSRGAN) model based on the generative adversarial network is proposed. The generator of the model uses the transformer encoder sub-module...

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Bibliographic Details
Main Authors: Hangyu Liu, Qicheng Liu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Image generation
generative adversarial network
transformer
self-attention
Online Access:https://ieeexplore.ieee.org/document/9913966/

Internet

https://ieeexplore.ieee.org/document/9913966/

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