MaskAAE: Latent space optimization for Adversarial Auto-Encoders

10 Dec 2019Arnab Kumar MondalSankalan Pal ChowdhuryAravind JayendranParag SinglaHimanshu AsnaniPrathosh AP

The field of neural generative models is dominated by the highly successful Generative Adversarial Networks (GANs) despite their challenges, such as training instability and mode collapse. Auto-Encoders (AE) with regularized latent space provide an alternative framework for generative models, albeit their performance levels have not reached that of GANs... (read more)

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