Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks. B Gecer, A Lattas, S Ploumpis, et al.
Date: September 2019. Source: Cornell University Library – arXiv.org, Computer Vision and Pattern Recognition. Abstract: Generating realistic 3D faces is of high importance for computer graphics and computer vision applications. Generally, research on 3D face generation revolves around linear statistical models of the facial surface. Nevertheless, these models cannot represent faithfully either the facial texture […]Read More