AI RESEARCH

ShowFlow: From Robust Single Concept to Condition-Free Multi-Concept Generation

arXiv CS.CV

ArXi:2506.18493v2 Announce Type: replace Customizing image generation remains a core challenge in controllable image synthesis. For single-concept generation, maintaining both identity preservation and prompt alignment is challenging. In multi-concept scenarios, relying solely on a prompt without additional conditions like layout boxes or semantic masks, often leads to identity loss and concept omission. In this paper, we