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SUGAN: A Stable U-Net Based Generative Adversarial Network

As one of the representative models in the field of image generation, generative adversarial networks (GANs) face a significant challenge: how to make the best trade-off between the quality of generated images and training stability. The U-Net based GAN (U-Net GAN), a recently developed approach, ca...

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Hoofdauteurs: Shijie Cheng, Lingfeng Wang, Min Zhang, Cheng Zeng, Yan Meng
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2023-08-01
Reeks:Sensors
Onderwerpen:
generative adversarial network
image generation
mode collapse
training stability
gradient normalization
Online toegang:https://www.mdpi.com/1424-8220/23/17/7338
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