ASE-MLLM fuses EAT-derived aesthetic saliency into MLLMs via cross-attention, improving aesthetic captioning over fine-tuning alone, but the SOTA claim rests on comparing to non-fine-tuned baselines.
Image aesthetics assessment with attribute-assisted multimodal memory network,
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Aesthetic Image Captioning with Saliency Enhanced MLLMs
ASE-MLLM fuses EAT-derived aesthetic saliency into MLLMs via cross-attention, improving aesthetic captioning over fine-tuning alone, but the SOTA claim rests on comparing to non-fine-tuned baselines.