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Existing text-to-image models struggle to capture individual aesthetic preferences, but PIPBench reveals critical gaps in their performance that could redefine personalized image generation.
MLLMs falter in fine-grained interpersonal reasoning, but integrating visual cues and social roles can dramatically boost their performance.
