7 citations · 10 across the 7 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.CV2020
Image Shape Manipulation from a Single Augmented Training Sample
Yael Vinker, Eliahu Horwitz, Nir Zabari +1
In this paper, we present DeepSIM, a generative model for conditional image manipulation based on a single image. We find that extensive augmentation is key for enabling single ima…
cs.CV2020
Training End-to-end Single Image Generators without GANs
Yael Vinker, Nir Zabari, Yedid Hoshen
We present AugurOne, a novel approach for training single image generative models. Our approach trains an upscaling neural network using non-affine augmentations of the (single) in…