MULTI-REFERENCE IMAGE EDITING DATA GENERATION VIA EMERGENT SIMILARITY METRICS IN IMAGE REPRESENTATION LEARNERS

Systems and methods are disclosed for generating edit captions based on layout representations. The system may access one or more reference layout representations associated with one or more reference images and a target layout representation associated with a target image. The system may compare the one or more reference layout representations with the target layout representation to determine semantic differences or correspondences. The system may identify one or more differences between the one or more reference images and the target image, the differences including modifications to objects, spatial relationships, or contextual features. The system may generate one or more edit captions based on the identified differences. Each edit caption may comprise natural language text describing transformations between the one or more reference images and the target image, including instructions to add, remove, replace, reposition, or resize elements, or descriptions of contextual changes such as background, lighting, or perspective.