Questions tagged [conditional-vae]

The Conditional Variational Autoencoder (CVAE), introduced in the paper Learning Structured Output Representation using Deep Conditional Generative Models (2015), is an extension of Variational Autoencoder (VAE) (2013). In VAEs, we have no control…

Do you condition the generative model (let's say, VAE) on the task identity or the class label or both? If I condition the VAE on both task identity and class label, then I have to provide both the two information to the VAE when testing, right? Why…

I am interested in capturing higher-dimensional embeddings of a image dataset as a gaussian noise, such that a specific region of gaussian noise corresponds to embedding of a particular label. How do we get to do that? For instance, suppose I have…

I don't quite understand why, in Conditional Variational Autoencoder (CVAE), we concatenate a conditioning vector two times, at encoder and decoder respectively. After we concatenate it once at the beginning, isn't the latent distribution going to…