Progressive growing of GANs for improved quality, stability, and variation Karras et al., ICLR'18 Let’s play "spot the celebrity"! (Not your usual #themorningpaper fodder I know, but bear with me...) In each row, one of these is a photo of a real person, the other image is entirely created by a GAN. But which is ... Continue Reading

Photo-realistic single image super-resolution using a generative adversarial network Ledig et al., arXiv'16 Today’s paper choice also addresses an image-to-image translation problem, but here we’re interested in one specific challenge: super-resolution. In super-resolution we take as input a low resolution image like this: And produce as output an estimation of a higher-resolution up-scaled version: For ... Continue Reading

Image-to-image translation with conditional adversarial networks Isola et al., CVPR’17 It’s time we looked at some machine learning papers again! Over the next few days I’ve selected a few papers that demonstrate the exciting capabilities being developed around images. I find it simultaneously amazing to see what can be done, and troubling to think about ... Continue Reading