![]() ![]() We present a caricature generation framework based on shape and style manipulation using StyleGAN. ![]() Because our techniques produce images that are effective at communicating complex information, they are useful in a number of potential applications, ranging from entertainment and education to low bandwidth telecommunications and psychology research. For the learning task we find that illustrations are learned two times faster than photographs and caricatures are learned one and a half times faster than photographs. These studies show that the facial illustrations and caricatures generated using our techniques are as effective as photographs in recognition tasks. We evaluate the effectiveness of the resulting images through psychophysical studies to assess accuracy and speed in both recognition and learning tasks. ![]() In addition an interactive technique is demonstrated for deforming these black-and-white facial illustrations to create caricatures which highlight and exaggerate representative facial features. We present a method for creating black-and-white illustrations from photographs of human faces.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |