2020
Editing in Style: Uncovering the Local Semantics of GANs
CVPR 2020poster
While the quality of GAN image synthesis has improved tremendously in recent years, our ability to control and condition the output is still limited. Focusing on StyleGAN, we introduce a simple and effective method for making local, semantically-aware edits to a target output image. This is accompli…