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. 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 method 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，对现有图像进行精细的语义修改仍然是一个长期存在的挑战。本文提出了一种开创性框架，通过整合视点信息来增强图像编辑任务的控制能力。通过调研现有的目标编辑方法，我们提炼出图像编辑方法应满足的三个关键准则：一致性、可控性与和谐性。与现有方法不同，我们的方法率先同时满足这三个要求以应对图像合成的挑战。通过涵盖与当代最新方法的定量评估及定性比较的综合实验，我们提供了令人信服的证据，证明我们的框架在多个维度上均表现出优越性能。这项工作为推进图像合成技术、实现精准的目标修改并保持整体构图视觉连贯性开辟了有前景的途径。