  While 3D GANs have recently demonstrated the high-quality synthesis of
multi-view consistent images and 3D shapes, they are mainly restricted to
photo-realistic human portraits. This paper aims to extend 3D GANs to a
different, but meaningful visual form: artistic portrait drawings. However,
extending existing 3D GANs to drawings is challenging due to the inevitable
geometric ambiguity present in drawings. To tackle this, we present Dr.3D, a
novel adaptation approach that adapts an existing 3D GAN to artistic drawings.
Dr.3D is equipped with three novel components to handle the geometric
ambiguity: a deformation-aware 3D synthesis network, an alternating adaptation
of pose estimation and image synthesis, and geometric priors. Experiments show
that our approach can successfully adapt 3D GANs to drawings and enable
multi-view consistent semantic editing of drawings.
