StyleGAN2 is an advanced generative adversarial network trained on FFHQ (Flickr-Faces-HQ), a high-resolution dataset that offers high quality and variation in terms of age, ethnicity and image background. Instead of faces, this project searches in the portrait manifold finding generated images, using photos of nature as an input uncovering its hidden spirits. From European to African, American and Asian mythology, all cultures encompass nature deities embodying natural forces; AI unravels their mystery unifying them in a universal AI mythology.
This project was presented in the AI Art Gallery of NeurIPS 2020, the premier conference in machine learning.
You can watch the full project including all the nature deities in the video below.