Search Results for author:
Found 3 papers, 0 papers with code
A comprehensive survey on semantic facial attribute editing using generative adversarial networks
Generating random photo-realistic images has experienced tremendous growth during the past few years due to the advances of the deep convolutional neural networks and generative models.
GMFIM: A Generative Mask-guided Facial Image Manipulation Model for Privacy Preservation
Generative adversarial networks (GANs) are shown to be very powerful in generating face images in high diversity and also in editing face images.
Face sketch to photo translation using generative adversarial networks
Translating face sketches to photo-realistic faces is an interesting and essential task in many applications like law enforcement and the digital entertainment industry.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
