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cs.CV2025
Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models
Chenyue Song, Chen Hui, Haiqi Zhu +4
No-reference image quality assessment (NR-IQA) aims to simulate the process of perceiving image quality aligned with subjective human perception. However, existing NR-IQA methods e…
cs.CV2025
BPCLIP: A Bottom-up Image Quality Assessment from Distortion to Semantics Based on CLIP
Chenyue Song, Chen Hui, Wei Zhang +4
Image Quality Assessment (IQA) aims to evaluate the perceptual quality of images based on human subjective perception. Existing methods generally combine multiscale features to ach…