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pokemon-generation

Task: pokemon image generation

Dataset: pokemon-image-dataset

Augmentations:

  • Resize to 64x64,
  • Random horizontal flip
  • Color jitter

Training:

  • 1000 epochs
  • batch_size=128
  • Adam: LR = 0.0002 BETA = (0.5, 0.999)

Models:

  • DCGAN
  • WGAN-GP

Best model: DCGAN with tweaks from ganhacks:

  • A modified loss function (for G min (log 1-D) --> max log D)
  • Label smoothing
  • Adding noise to inputs
  • LeakyReLU insead of ReLU

Result: image

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Pokemon images generation using GANs

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