Unsupervised image-to-image translation methods aim to map images from o...
Recently, huge strides were made in monocular and multi-view pose estima...
Progress in machine learning is typically measured by training and testi...
Given an input image from a source domain and a "guidance" image from a
...
Unsupervised distribution alignment has many applications in deep learni...
The goal of unsupervised image-to-image translation is to map images fro...
In this work we propose a model that enables controlled manipulation of
...
In this work we propose a model that can manipulate individual visual
at...
Unsupervised transfer of object recognition models from synthetic to rea...
Unsupervised image-to-image translation is a recently proposed task of
t...
We present the 2017 Visual Domain Adaptation (VisDA) dataset and challen...
Methods that align distributions by minimizing an adversarial distance
b...
We propose a generalization of SimRank similarity measure for heterogene...