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Generative Adversarial Networks (GAN) Python Clear Filters & Widen Search
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    AnimeGAN

    AnimeGAN

    A simple PyTorch Implementation of Generative Adversarial Networks

    A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing. The images are generated from a DCGAN model trained on 143,000 anime character faces for 100 epochs. Manipulating latent codes enables the transition from images in the first row to the last row. The images are not clean, some outliers can be observed, which degrades the quality of the generated images.
    Downloads: 0 This Week
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