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Pilot project of CIFAR-10 image generation by generative adversarial network (GAN)

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N-Shimoda/pilot-GAN

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pilot-GAN

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Pilot project of CIFAR-10 image generation by conditional DCGAN 1 2. Result with 100 epoch

Directories & Files

  • C-DCGAN_original (main): Conditional DCGAN
  • C-GAN-Color: C-GAN for color images
  • DCGAN_PyTorch: Deep Convolutional GAN (DCGAN) for monochrome image
  • C-GAN_PyTorch: Conditional GAN for monochrome image
  • chap05: Sample codes of text book. Downloaded from here
  • gif.py: Codes to create gif animation of results.

References

Footnotes

  1. チーム・カルポ著. 物体検出とGAN、オートエンコーダー、画像処理入門: PyTorch/TensorFlow2による発展的・実装ディープラーニング. Tōkyō: 秀和システム, 2021.

  2. Radford, Alec, Luke Metz, and Soumith Chintala. “Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks,” January 7, 2016. http://arxiv.org/abs/1511.06434.

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Pilot project of CIFAR-10 image generation by generative adversarial network (GAN)

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