Artificial intelligence is used to show how the appearance of Jesus is perceived in our modern world. It reveals our collective fantasies and the social construction of our perception.
We try to get as close as possible to an image that corresponds to Jesus. The latent space of a GAN is explored with OpenAI's CLIP.
A GENETIC APPROACH
A StyleGAN model trained on faces (FFHQ) is used to generate hundreds of images. CLIP performs zero-shot prediction and returns the image that corresponds the most to the text "Jesus". The corresponding latent vector is kept.
At each iteration, the same process is repeated by mutating the best latent vector into several similar vectors.
"Satan" at different iterations
"Personification of God"
"Satan" using FFHQ model finetuned on Dusty Ray works