SeFFeC: Semantic Facial Feature Control for Fine-grained Face Editing

arXiv:2403.13972v1 Announce Type: new
Abstract: We propose Semantic Facial Feature Control (SeFFeC) - a novel method for fine-grained face shape editing. Our method enables the manipulation of human-understandable, semantic face features, such as nose length or mouth width, which are defined by different groups of facial landmarks. In contrast to existing methods, the use of facial landmarks enables precise measurement of the facial features, which then enables training SeFFeC without any manually annotated labels. SeFFeC consists of a transformer-based encoder …

abstract arxiv contrast control cs.cv editing face feature features fine-grained human manipulation novel semantic type