stylegan-generation/ ├── README.md # Project documentation ├── requirements.txt # Python dependencies ├── setup.py # Package setup ├── LICENSE ...

Abstract: Our goal with this survey is to provide an overview of the state of the art deep learning methods for face generation and editing using StyleGAN. The survey covers the evolution of StyleGAN, ...

GANs are often criticized for being difficult to train, with their architectures relying heavily on empirical tricks. Despite their ability to generate high-quality images in a single forward pass, ...

To reproduce the results, you can refer to samples/get_samples.py to generate images, and then use projector.py to invert and restore images (to make this project self-contained, we upload the weights ...

LinkedIn has developed a new AI image detector research concept that has a 99% success rate in catching fake profile photos, with a 1% false positive rate. According to anecdotal evidence, their new ...

Today’s 2D generative models have achieved astounding results in high-quality face generation for applications such as facial animation, expression transfer and virtual avatars. The editing ...

1 West Virginia University, Lane Department of Computer Science and Electrical Engineering, Morgantown, United States 2 Kwai Inc, Palo Alto, CA, United States Blindrestoration of low-quality faces in ...

Portrait synthesis has become a rapidly growing field of computer graphics in recent years. If you are wondering what portrait synthesis means, it is an Artificial Intelligence (AI) task involving an ...