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cs.CV2025
iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrieval
Lorenzo Agnolucci, Alberto Baldrati, Alberto Del Bimbo +1
Given a query consisting of a reference image and a relative caption, Composed Image Retrieval (CIR) aims to retrieve target images visually similar to the reference one while inco…
cs.CV2025
Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessment
Lorenzo Agnolucci, Leonardo Galteri, Marco Bertini
No-Reference Image Quality Assessment (NR-IQA) focuses on designing methods to measure image quality in alignment with human perception when a high-quality reference image is unava…