Feature Denoising Diffusion Model for Blind Image Quality Assessment

no code implementations • 22 Jan 2024 • Xudong Li, Jingyuan Zheng, Runze Hu, Yan Zhang, Ke Li, Yunhang Shen, Xiawu Zheng, Yutao Liu, Shengchuan Zhang, Pingyang Dai, Rongrong Ji

Blind Image Quality Assessment (BIQA) aims to evaluate image quality in line with human perception, without reference benchmarks.

Blind Image Quality Assessment Denoising +1

Adaptive Feature Selection for No-Reference Image Quality Assessment using Contrastive Mitigating Semantic Noise Sensitivity

no code implementations • 11 Dec 2023 • Xudong Li, Timin Gao, Xiawu Zheng, Runze Hu, Jingyuan Zheng, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Yan Zhang, Rongrong Ji

The current state-of-the-art No-Reference Image Quality Assessment (NR-IQA) methods typically use feature extraction in upstream backbone networks, which assumes that all extracted features are relevant.

Contrastive Learning feature selection +2

Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment

no code implementations • 1 Dec 2023 • Xudong Li, Jingyuan Zheng, Xiawu Zheng, Runze Hu, Enwei Zhang, Yuting Gao, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Yan Zhang, Rongrong Ji

Concretely, by innovatively introducing a novel feature distillation method in IQA, we propose a new framework to learn comparative knowledge from non-aligned reference images.

Inductive Bias No-Reference Image Quality Assessment +1