AI RESEARCH
Ar2Can: An Architect and an Artist Leveraging a Canvas for Multi-Human Generation
arXiv CS.CV
•
ArXi:2511.22690v3 Announce Type: replace Despite recent advances in personalized image generation, existing models consistently fail to produce reliable multi-human scenes, often merging or losing facial identity. We present Ar2Can, a novel two-stage framework that disentangles spatial planning from identity rendering for multi-human generation. The Architect predicts structured layouts, specifying where each person should appear.