![]() These artists have the ability to capture distinct facial features, and then exaggerate those features ( Redman, 1984). Caricatures have been commonly used to entertain people, to laugh at politics or as a gift or souvenir sketched by street artists. Caricature can be defined as the art of drawing persons (usually faces) in a simplified or exaggerated way through sketching, pencil strokes, or other artistic drawings. ![]() References can be found during the Antiquity with Aristotle referring to these artists as “grotesque,” or in the works of Leonardo Da Vinci who was eagerly looking for people with deformities to use as models. Finally, we provide insights for automatically generating caricaturized 3D facial mesh.Ĭaricatures have been used for centuries to convey humor or sarcasm. It highlights the subjectivity of the caricature perception and the complementarity of the methods. To evaluate and compare these two novel approaches with the state of the art, we conducted the first user study of facial mesh caricaturization techniques, with 49 participants. We leverage existing facial and caricature datasets, along with recent domain-to-domain translation methods and 3D convolutional operators, to learn to caricaturize 3D facial scans in an unsupervised way. The second approach is a GAN for unpaired face-scan-to-3D-caricature translation. It is a combination of two deformation processes: facial curvature and proportions exaggeration. The first approach is a gradient-based differential deformation approach with data driven stylization. In this paper, we propose two novel approaches to automatically caricaturize input facial scans, filling gaps in the literature in terms of user-control, caricature style transfer, and exploring the use of deep learning for 3D mesh caricaturization. ![]() Automatic caricaturization has been explored both in the 2D and 3D domain. ![]()
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