2 papers
cs.CV2026
Bridging the Perceptual Gap: Residual-Enhanced Downscaling and Manifold-Aware Perception Alignment Adaptation for NR-IQA
Yu Li, Zhengran Shen, Yachun Mi +2
Leveraging Large Vision-Language Models like CLIP has recently set new benchmarks for No-Reference Image Quality Assessment (NR-IQA). However, the contrastive pretraining of CLIP i…
cs.CV2026
Unleashing Vision Transformer Potential In Image Quality Assessment via Global-Local Adaptive Interaction
Yu Li, Puchao Zhou, Yachun Mi +3
In the field of Blind Image Quality Assessment (BIQA), accurately predicting the perceptual quality of authentically distorted images remains highly challenging due to the diverse…