Modern 3D-GANs synthesize geometry and texture by training on large-scal...
Image editing using a pretrained StyleGAN generator has emerged as a pow...
The success of StyleGAN has enabled unprecedented semantic editing
capab...
We present a new method for one shot domain adaptation. The input to our...
Seamlessly blending features from multiple images is extremely challengi...
We propose an unsupervised segmentation framework for StyleGAN generated...
StyleGAN is able to produce photorealistic images that are almost
indist...
High-quality, diverse, and photorealistic images can now be generated by...
We propose semantic region-adaptive normalization (SEAN), a simple but
e...
We propose Image2StyleGAN++, a flexible image editing framework with man...
We propose an efficient algorithm to embed a given image into the latent...