r/MachineLearning - [D] Variational Autoencoders

Recently I read the paper: Auto-Encoding Variational Bayes*. Kingma, D. P. & Welling, M. (2013)*, which introduces variational autoencoders a type of generative model which finds application from generating faces to even music! Would love to get any feedback on it. One shortcoming of VAEs I found is that you can't tell what feature each latent dimension controls. There has been research done on this problem and Beta-VAEs seem to address this problem.