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Transforming image generation into a dynamic feedback system yields up to 25.36% better facial similarity and significant spatial error reductions without any training.
A unified framework reveals that existing LLM policy optimization methods often overlook compound failures that require simultaneous adjustments to both trajectory and reward components.
