Distribution-Calibrated Candidate Selection for Personalized Text-to-Image Generation
Subject-driven personalized text-to-image systems commonly generate multiple candidates but return a single output, yet the selection stage is rarely evaluated as an explicit system component. Identity-only selection may overemphasize reference similarity at the expense of prompt alignment and output diversity. We prop...