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MDPI AG
Interpretation of Latent Codes in InfoGAN with SAR Images
Generative adversarial networks (GANs) can synthesize abundant photo-realistic synthetic aperture radar (SAR) images. Some modified GANs (e.g., InfoGAN) are even able to edit specific properties of the synthesized images by introducing latent codes. It is crucial for SAR image synthesis since the targets in real SAR images have different properties due to the imaging mechanism. Despite the success of the InfoGAN in manipulating properties, there still lacks a clear explanation of how these latent...
Download 2023 Xianda Zhou , Mingzhe Zhu , Xiyang Cui , Ljubisa Stankovic , Miloš Daković , Zhenpeng Feng , Hongbing Ji
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