Awesome Image Quality Assessment (IQA)

A comprehensive collection of IQA papers, datasets and codes. We also provide PyTorch implementations of mainstream metrics in IQA-PyTorch

• Awesome Image Quality Assessment (IQA)
  • Papers
    • No Reference (NR)
    • Full Reference (FR)
    • Image Aesthetic Assessment
    • Others
  • Datasets
    • IQA datasets
    • Perceptual similarity datasets

Related Resources:

• Awesome Image Aesthetic Assessment and Cropping. A curated list of resources including papers, datasets, and relevant links to aesthetic evaluation and cropping.

Papers

No Reference (NR)

• [CVPR2023] Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild, Saha et al. Bibtex

• [CVPR2023] Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective, Zhang et al. Github | Bibtex

• [CVPR2023] Quality-aware Pre-trained Models for Blind Image Quality Assessment, Zhao et al. Bibtex

• [AAAI2023] Exploring CLIP for Assessing the Look and Feel of Images, Wang et al. Github | Bibtex

• [AAAI2023] Data-Efficient Image Quality Assessment with Attention-Panel Decoder, Qin et al. Github | Bibtex

• [TPAMI2022] Continual Learning for Blind Image Quality Assessment , Zhang et al. Github | Bibtex

• [TIP2022] VCRNet: Visual Compensation Restoration Network for No-Reference Image Quality Assessment, Pan et al. Github | Bibtex

• [TMM2022] GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment, Sun et al. Github | Bibtex

• [CVPR2021] Troubleshooting Blind Image Quality Models in the Wild, Wang et al. Github | Bibtex

Full Reference (FR)

• [ECCV2022] Shift-tolerant Perceptual Similarity Metric, Ghildyal et al. Github | Bibtex
• [BMVC2022] Content-Diverse Comparisons improve IQA, Thong et al. Bibtex
• [ACM MM2022] Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical Fidelity, Zhou et al. Github | Bibtex

Image Aesthetic Assessment

• [CVPR2023] VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining, Ke et al. Bibtex
• [CVPR2023] Towards Artistic Image Aesthetics Assessment: a Large-scale Dataset and a New Method, Yi et al. Github | Bibtex

Others

Datasets

IQA datasets

Perceptual similarity datasets