Autoencoding beyond pixels using a learned similarity metric — mentioned by kastnerkyle

Tue, 19 Jan 2016 13:53:30 GMT

If we really want to get into "what is better" - the state of the art has recently moved significantly past this (paper [1] and blog [2]) - not to mention the recent submissions to ICLR in this realm [3][4]. GAN training is very tricky to get working in practice, especially on new problems, though conditional GAN seems to be a bit more stable in learning than the unconditional relatives. This blog deserves credit for thinking differently about a problem and getting something useful out of it. I think the goal of this inversion was to inspect what the cascade is "looking at" in some sense…

Paper and discussion history. A mention is not an endorsement.

Autoencoding beyond pixels using a learned similarity metric · HackerPapers discussions

Autoencoding beyond pixels using a learned similarity metric — mentioned by kastnerkyle