Warping the Residuals for Image Editing with StyleGAN

Ahmet Burak Yildirim, Hamza Pehlivan, Aysegul Dundar

StyleGAN models show editing capabilities via their semantically interpretable latent organizations which require successful GAN inversion methods to edit real images. Many works h…