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For questions related to the concept of generative machine learning models, such as the Restricted Boltzmann Machine (RBM), the Variational Autoencoder (VAE), the Generative Adversarial Network (GAN), Large Language Models (LLMs), and Diffusion Models.

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How to get good results with GAN and some thousands of images?

I'm trying to generate images at minimum of size 128 x 128 with a Generative Adversarial Network. I already tried a SAGAN pytorch implementation, but I'm not very happy with results. The images look c …
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