Meet LLMScore: A New LLM-based Instruction-Following Matching Pipeline to Evaluate the Alignment Between Text Prompts and Synthesized Images in Text-to-Image Synthesis

Text-to-image synthesis research has advanced significantly in recent years. However, assessment measures have lagged due to difficulties adapting assessments with different purposes, effectively capturing composite text-image alignment (for example, color, counting, and position) and producing the score understandably. Despite being extensively used and successful, established assessment metrics for text-to-image synthesis like CLIPScore and BLIP have […]

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