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Sampling From Autoencoders' Latent Space via Quantization And Probability Mass Function Concepts
Furthermore, when it comes to generating images of faces and ocular images, our approach showcases substantial enhancements with FID improvements of $1. 69$ and $0. 87$ respectively, as compared to GMM sampling, as evidenced on the CelebA and MOBIUS datasets.
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