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...
We consider the problem of filling in missing spatio-temporal regions of...
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...
We introduce optimization methods for convolutional neural networks that...
High-quality, diverse, and photorealistic images can now be generated by...
We propose semantic region-adaptive normalization (SEAN), a simple but
e...