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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…
cs.CV2025
GAOT: Generating Articulated Objects Through Text-Guided Diffusion Models
Hao Sun, Lei Fan, Donglin Di +1
Articulated object generation has seen increasing advancements, yet existing models often lack the ability to be conditioned on text prompts. To address the significant gap between…
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…