Neural Implicit Morphing of Face Images

Face morphing is a problem in computer graphics with numerous artistic and forensic applications. It is challenging due to variations in pose, lighting, gender, and ethnicity. This task consists of a warping for feature alignment and a blending for a seamless transition between the warped images. We propose to leverage coord-based neural networks to represent such warpings and blendings of face images. The results of our experiments indicate that our method is competitive with both classical and generative models.
Guilherme Schardong (University of Coimbra)