Editing Implicit Assumptions in Text-to-Image Diffusion Models
	

Overview
	
Editing Implicit Assumptions in Text-to-Image Diffusion Models by Hadas Orgad, Bahjat Kawar, and Yonatan Belinkov.
The abstract of the paper is the following:
Text-to-image diffusion models often make implicit assumptions about the world when generating images. While some assumptions are useful (e.g., the sky is blue), they can also be outdated, incorrect, or reflectiv