  In the field of image processing, applying intricate semantic modifications
within existing images remains an enduring challenge. This paper introduces a
pioneering framework that integrates viewpoint information to enhance the
control of image editing tasks, especially for interior design scenes. By
surveying existing object editing methodologies, we distill three essential
criteria -- consistency, controllability, and harmony -- that should be met for
an image editing method. In contrast to previous approaches, our framework
takes the lead in satisfying all three requirements for addressing the
challenge of image synthesis. Through comprehensive experiments, encompassing
both quantitative assessments and qualitative comparisons with contemporary
state-of-the-art methods, we present compelling evidence of our framework's
superior performance across multiple dimensions. This work establishes a
promising avenue for advancing image synthesis techniques and empowering
precise object modifications while preserving the visual coherence of the
entire composition.
