Fig. 1
The architecture of the VAE model. The encoder receives a DD map and outputs the parameters, μ and σ, which determine the distribution of the latent variable. The mean parameter, μ, and the variance parameter, σ, are employed to create a distribution for sampling the latent variables. The latent variable, z, is passed to the decoder via the sampling step, and the decoder reproduces the input image from the latent variables.

The architecture of the VAE model. The encoder receives a DD map and outputs the parameters, μ and σ, which determine the distribution of the latent variable. The mean parameter, μ, and the variance parameter, σ, are employed to create a distribution for sampling the latent variables. The latent variable, z, is passed to the decoder via the sampling step, and the decoder reproduces the input image from the latent variables.

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