- The resulting networks match the FID of StyleGAN2 but differ dramatically in their internal representations, and they are fully equivariant to translation and rotation...
- In this first article, we are going to explain StyleGAN’s building blocks and discuss the key points of its success as well as its limitations.
- A minimal example of using a pre-trained StyleGAN generator is given in pretrained_example.py.
- An image generated using StyleGAN that looks like a portrait of a young woman. This image was generated by an artificial neural network based on an analysis of a large...
- Unlike traditional GANs, StyleGAN uses an alternative generator architecture that borrows from the style transfer literature.
- This is a PyTorch implementation of the paper Analyzing and Improving the Image Quality of StyleGAN which introduces StyleGAN 2...
- NVIDIA in 2018 came out with a breakthrough Model- StyleGAN, which amazed the world for its ability to generate ultra-realistic and high-quality images.
- You can try to train this StyleGAN to resolutions above 128x128 with the CelebA HQ dataset.
- In this article, we go through the StyleGAN paper, which is based on ProGAN (They have the same discriminator architecture and different generator architecture).
- This method gives StyleGAN impressive control over image creation, making it a favorite for tasks like face synthesis and artwork generation.
