MultiStyleGAN: Multiple One-shot Image Stylizations using a Single GAN. (arXiv:2210.04120v2 [cs.CV] UPDATED)

Image stylization aims at applying a reference style to arbitrary input
images. A common scenario is one-shot stylization, where only one example is
available for each reference style. Recent approaches for one-shot stylization
such as JoJoGAN fine-tune a pre-trained StyleGAN2 generator on a single style
reference image. However, such methods cannot generate multiple stylizations
without fine-tuning a new model for each style separately. In this work, we
present a MultiStyleGAN method that is capable of producing multiple different
stylizations at …

arxiv example fine-tuning gan generator image images multiple reference stylegan2 the key work