On Unifying Deep Generative Models

Deep generative models have achieved impressive success in recent years. Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), as emerging families for generative model learning, have largely been considered as two distinct paradigms and received extensive independent studies respectively... (read more)

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METHOD TYPE
Convolution
Convolutions
VAE
Generative Models
GAN
Generative Models