Generative image editing has recently witnessed extremely fast-paced growth. Some works
use high-level conditioning such as text, while others use low-level conditioning.
Nevertheless, most of them lack fine-grained control over the properties of the different
objects present in the image, ie object-level image editing. In this work, we tackle the task by
perceiving the images as an amalgamation of various objects and aim to control the
properties of each object in a fine-grained manner. Out of these properties, we identify …