3 papers
cs.GR2020
Unsupervised multi-modal Styled Content Generation
Omry Sendik, Dani Lischinski, Daniel Cohen-Or
The emergence of deep generative models has recently enabled the automatic generation of massive amounts of graphical content, both in 2D and in 3D. Generative Adversarial Networks…
cs.LG2019
CrossNet: Latent Cross-Consistency for Unpaired Image Translation
Omry Sendik, Dani Lischinski, Daniel Cohen-Or
Recent GAN-based architectures have been able to deliver impressive performance on the general task of image-to-image translation. In particular, it was shown that a wide variety o…
physics.ao-ph2018
On the potential for reconstructing the moisture field using commercial microwave network data
Noam David, Omry Sendik, Hagit Messer +4
The atmospheric greenhouse effect and the hydrological cycle of Earth are key components enabling the planet to support life. Water vapor is a central element in both of these, acc…