  In this paper, we integrate VAEs and flow-based generative models
successfully and get f-VAEs. Compared with VAEs, f-VAEs generate more vivid
images, solved the blurred-image problem of VAEs. Compared with flow-based
models such as Glow, f-VAE is more lightweight and converges faster, achieving
the same performance under smaller-size architecture.

Machine Learning;Computer Vision and Pattern Recognition;Machine Learning