Image Generation through Convolutional Auto-Encoders.
Building an image generation system with a variant of the autoencoder model: VQ-VAE.
Implementing the Fréchet Inception Distance to evaluate the quality of generated images.
Using MNIST dataset.
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Learning latent space representations of VQ-VAE model
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