The key insight of the "Generative Adversarial Networks," by Ian Goodfellow et al., is to learn a generative model's loss function at the same time as learning...Alexei A. Efros, Aaron Hertzmann From Communications of the ACM | November 2020
Given a large repository of geo-tagged imagery, we seek to automatically find visual elements, for example windows, balconies, and street signs, that are most distinctive...Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros From Communications of the ACM | December 2015
"Moving Portraits" is, in some sense, part of the perpetual quest to capture the perfect portrait. Its principal contribution is in adapting this age-old problem...Alexei A. Efros From Communications of the ACM | September 2014
What can you do with a million images? In this paper, we present a new image completion algorithm powered by a huge database of photographs gathered from the Web...James Hays, Alexei A. Efros From Communications of the ACM | October 2008