PIPBench is a profile-inclusive benchmark with 1,369 test cases from 251 real users and synthetic agents that evaluates personalized image generation methods, revealing that current approaches struggle to jointly interpret multiple reference images for preference alignment.
In: Proceedings of the IEEE/CVF International Conference on Computer Vision
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PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation
PIPBench is a profile-inclusive benchmark with 1,369 test cases from 251 real users and synthetic agents that evaluates personalized image generation methods, revealing that current approaches struggle to jointly interpret multiple reference images for preference alignment.