This repository showcases of training a Variational Autoencoder (VAE) and Conditional Variational Autoencoder (CVAE) using a manually collected dataset of diverse clothing items. The primary objective ...

This repository showcases of training a Variational Autoencoder (VAE) and Conditional Variational Autoencoder (CVAE) using a manually collected dataset of diverse clothing items. The primary objective ...

The parameters of this model will be initialized by our proposal of conditional pre-training and then optimized with respect to the unregularized objective function (see Equation 5). In order to study ...

In this article, a conditional variational autoencoder based method is proposed for the probabilistic wind power curve modeling task. To advance the modeling performance, the latent random variable is ...

Besides, the loss function of the variational autoencoder is revised and improved. The aim is to learn feature representations with fewer image features to obtain more accurate results. (2) In the ...