Generalizable Face Landmarking Guided by Conditional Face Warping

arXiv:2404.12322v1 Announce Type: new
Abstract: As a significant step for human face modeling, editing, and generation, face landmarking aims at extracting facial keypoints from images. A generalizable face landmarker is required in practice because real-world facial images, e.g., the avatars in animations and games, are often stylized in various ways. However, achieving generalizable face landmarking is challenging due to the diversity of facial styles and the scarcity of labeled stylized faces. In this study, we propose a simple but effective …

arxiv cs.ai cs.cv face type