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.

翻译：在图像处理领域，对现有图像应用复杂的语义修改仍是一项持久挑战。本文提出了一种创新框架，通过集成视点信息来增强图像编辑任务的控制能力，尤其适用于室内设计场景。通过系统梳理现有对象编辑方法，我们提炼出图像编辑方法应满足的三项核心准则——一致性、可控性与和谐性。与先前方法不同，本框架率先同时满足这三项要求，以应对图像合成的挑战。通过全面的实验，包括定量评估及与当代最优方法的定性比较，我们提供了有力证据证明该框架在多维度上的卓越性能。本研究为推进图像合成技术开辟了新途径，能够在保持整体构图视觉连贯性的同时，实现精确的对象修改。