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[pdf]
[arXiv]
[bibtex]@InProceedings{Schardong_2024_CVPR, author = {Schardong, Guilherme and Novello, Tiago and Paz, Hallison and Medvedev, Iurii and da Silva, Vin{\'\i}cius and Velho, Luiz and Gon\c{c}alves, Nuno}, title = {Neural Implicit Morphing of Faces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {8395-8399} }
Neural Implicit Morphing of Faces
Abstract
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.
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