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，通过整合视角信息来增强图像编辑任务的控制能力。通过调研现有物体编辑方法，我们提炼出图像编辑方法应满足的三个核心准则：一致性、可控性与和谐性。与现有方法相比，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。通过包含定量评估和与当前最优方法定性比较的综合实验，我们提供了有力证据，证明该框架在多个维度上具有卓越性能。这项工作为推进图像合成技术开辟了崭新途径，在保持整体视觉连贯性的同时，实现了精确的物体修改。