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gram-matrix

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Gram-GAN bridges pixel-based and GAN SR methods, generating sharp and realistic textures by explicitly matching generated patches to real HR textures via a Gram-based patch database. It ensures stable training, better generalization, and texture-aware outputs—ideal for satellite, medical, art, and fashion super-resolution tasks.

  • Updated Oct 12, 2025
  • Python

A PyTorch project implementing neural style transfer using the VGG19 model, combining the content of one image with the style of another for artistic transformations.

  • Updated Dec 28, 2023
  • Python

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