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Generative Adversarial Networks (GAN) Windows Clear Filters & Widen Search
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    StudioGAN

    StudioGAN

    StudioGAN is a Pytorch library providing implementations of networks

    StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation. StudioGAN aims to offer an identical playground for modern GANs so that machine learning researchers can readily compare and analyze a new idea. Moreover, StudioGAN provides an unprecedented-scale benchmark for generative models. The benchmark includes results from GANs (BigGAN-Deep, StyleGAN-XL), auto-regressive models (MaskGIT,...
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