
Solving the ‘Profile View Famine’ With Generative Adversarial Networks
It’s hard to guess what people look like from the side if you only have frontal views of their face; and the chronic lack of profile views in popular datasets makes this a stubborn data problem that’s standing in the way of 360-degree facial synthesis. Now, researchers from Korea are offering a method that might alleviate this traditional roadblock.