FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2024.3434386
Abstract: Existing facial editing methods have achieved remarkable results, yet they often fall short in supporting multimodal conditional local facial editing. One of the significant evidences is that their output image quality degrades dramatically after several… read more here.
Keywords: fusion framework; facial editing; local facial; multimodal generative ... See more keywords
Deep Realistic Facial Editing via Label-restricted Mask Disentanglement
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5652730
Abstract: With the rapid development of GAN (generative adversarial network), recent years have witnessed an increasing number of tasks on reference-guided facial attributes transfer. Most state-of-the-art methods consist of facial information extraction, latent space disentanglement, and… read more here.
Keywords: reference; realistic facial; deep realistic; facial editing ... See more keywords