429 citations · 1.3k across the 86 of their papers we have counts for
5 papers · 1 filter
DeepFake Detection Based on the Discrepancy Between the Face and its Context
Yuval Nirkin, Lior Wolf, Yosi Keller +1
We propose a method for detecting face swapping and other identity manipulations in single images. Face swapping methods, such as DeepFake, manipulate the face region, aiming to ad…
Structured GANs
Irad Peleg, Lior Wolf
We present Generative Adversarial Networks (GANs), in which the symmetric property of the generated images is controlled. This is obtained through the generator network's architect…
Single Image Depth Estimation Trained via Depth from Defocus Cues
Shir Gur, Lior Wolf
Estimating depth from a single RGB images is a fundamental task in computer vision, which is most directly solved using supervised deep learning. In the field of unsupervised learn…
Unsupervised Learning of the Set of Local Maxima
Lior Wolf, Sagie Benaim, Tomer Galanti
This paper describes a new form of unsupervised learning, whose input is a set of unlabeled points that are assumed to be local maxima of an unknown value function v in an unknown…
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer
Ori Press, Tomer Galanti, Sagie Benaim +1
We study the problem of learning to map, in an unsupervised way, between domains A and B, such that the samples b in B contain all the information that exists in samples a in A and…