Learning Landmarks from Unaligned Data using Image Translation

Learning from unlabelled videos is key to scaling computer vision models. Our method learns state-of-the-art pose detectors given only examples of skeletons or facial landmarks. It further enables image generation and manipulation conditioned on landmarks.