StructGen: Disambiguating Multi-Reference Image Generation via Structured Context Modeling

arXiv:2607.15619v1 Announce Type: new Abstract: Multi-reference image generation aims to synthesize images by integrating attributes from multiple reference images under textual instructions. As the number of references increases, the task necessitates complex semantic comprehension, such as correctly associating attributes with the intended subjects and planing out coherent spatial arrangement between subjects and their environments. Existing approaches, which rely solely on natural language in...