Style-transfer GANs for bridging the domain gap in synthetic pose estimator training

Pavel Rojtberg, Thomas Pöllabauer, Arjan Kuijper

Given the dependency of current CNN architectures on a large training set, the possibility of using synthetic data is alluring as it allows generating a virtually infinite amount o…