Description: Project page for 'Splicing ViT Features for Semantic Appearance Transfer.'
Splicing ViT Features for Semantic Appearance Transfer
Narek Tumanyan * Omer Bar-Tal * Shai Bagon Tali Dekel
We present a method for semantically transferring the visual appearance of one natural image to another. Specifically, our goal is to generate an image in which objects in a source structure image are "painted" with the visual appearance of their semantically related objects in a target appearance image. Our method works by training a generator given only a single structure/appearance image pair as input. To integrate semantic information into our framework - a pivotal component in tackling this task - our