SRFlow is a really neat adaptation of normalizing flows for the purpose of image super-resolution. It is particularly compelling because it potentially trains SR networks with only a single negative-log-likelihood loss. Thanks to a reference implementation from the authors or the paper, I was able to bring a trainable SRFlow network into DLAS. I’ve had…
Category: DLAS
Deep Learning Art School (DLAS)
At the beginning of this year, I started working on image super-resolution on a whim: could I update some old analog-TV quality videos I have archived away to look more like modern videos? This has turned out to be a rabbit hole far deeper than I could have imagined. It started out by learning about…