Improved Attribute Manipulation in the Latent Space of StyleGAN for Semantic Face Editing

With the recent popularization of generative frameworks for producing photorealistic face images, we now have the ability to create a convincing graphical match for any particular individual. It is unrealistic, however, to rely solely on such generative methods to randomly produce the facial characteristics we are seeking. Instead, manipulation of facial attributes in the latent space, enabled by ...