AI RESEARCH
CPAM: Context-Preserving Adaptive Manipulation for Zero-Shot Real Image Editing
arXiv CS.CV
•
ArXi:2506.18438v2 Announce Type: replace Editing natural images using textual descriptions in text-to-image diffusion models remains a significant challenge, particularly in achieving consistent generation and handling complex, non-rigid objects. Existing methods often struggle to preserve textures and identity, require extensive fine-tuning, and exhibit limitations in editing specific spatial regions or objects while retaining background details. This paper proposes Context-Preserving Adaptive Manipulation (CPAM), a novel zero-shot framework for complicated, non-rigid real image editing.