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This project leverages a Generative Adversarial Network (GAN) to convert satellite images into detailed map representations using a U-Net-based generator and a PatchGAN discriminator. The dual-objective optimization with adversarial and L1 loss ensures high-quality map generation.
ALZ112/Satellite-Map-to-Road-View-Map-Conversion-using-Pix2Pix-GAN
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This project leverages a Generative Adversarial Network (GAN) to convert satellite images into detailed map representations using a U-Net-based generator and a PatchGAN discriminator. The dual-objective optimization with adversarial and L1 loss ensures high-quality map generation.
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