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Autor:
Yinzhu Jin, Rory McDaniel, N. Joseph Tatro, Michael J. Catanzaro, Abraham D. Smith, Paul Bendich, Matthew B. Dwyer, P. Thomas Fletcher
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
Many deep generative models, such as variational autoencoders (VAEs) and generative adversarial networks (GANs), learn an immersion mapping from a standard normal distribution in a low-dimensional latent space into a higher-dimensional data space. As
Externí odkaz:
https://doaj.org/article/27a48a21b24043779d3800b7b6875e1f
