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Building a GAN with PyTorch
Realistic Images Out of Thin Air?
Generative Adversarial Networks (GANs), proposed by Goodfellow et al. in 2014, revolutionized a domain of image generation in computer vision — no one could believe that these stunning and lively images are actually generated purely by machines. In fact, people used to think the task of generation was impossible and were surprised with the power of GAN, because traditionally, there simply is no ground truth we can compare our generated images to.
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