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Experimental results and analyses show that IMFD improves multi-face forgery detection by integrating face bounding boxes into the instruction, and consistently outperforms various state-of-the-art methods.
Text-to-image models consistently misinterpret similes, revealing a critical gap in their understanding of figurative language that could undermine their effectiveness in creative applications.